[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

An abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.

</task>

[Assistant] I'll build an abandoned village scene reclaimed by nature. Let me start by checking the scene state and available integrations.

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool]
PolyHaven integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use assets from Poly Haven' checkbox
                            3. Restart the connection to Claude

[Tool]
Hyper3D Rodin integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox
                            3. Restart the connection to Claude

[Assistant] I'll build everything procedurally. Let me start by creating the ground, houses, and environment step by step.

[Tool] Error executing code: Communication error with Blender: Code execution error: 'ShaderNodeValToRGB' object has no attribute 'interpolation'

[Tool] Code executed successfully: Ground created

[Assistant] Now let me create the houses with weathered walls and rusted metal roofs.

[Tool] Code executed successfully: Materials created

[Tool] Code executed successfully: Created 10 house parts for 5 houses

[Assistant] Now let me add overgrown foliage - grass, vines, moss on rooftops, and bushes.

[Tool] Code executed successfully: Foliage materials created

[Tool]
Code executed successfully: Created grass patches
Created moss patches on roofs

[Tool] Code executed successfully: Created 21 vines on walls

[Tool]
Code executed successfully: Created bushes
Created 6 trees
Created ground moss near houses

[Tool]
Code executed successfully: Created dark interiors for houses
Created rocks and debris
Created broken fence

[Tool]
Code executed successfully: Created 20 vines draping from roofs
Created grass tufts

[Tool] Code executed successfully: Camera and lighting set up

[Tool]
Code executed successfully: Added atmospheric fog
Created scattered planks
Total objects in scene: 1103
Cameras: 1
Lights: 2
Meshes: 1059
Curves: 41

[Assistant] Good, the scene has 1103 objects. Let me now do a quick render preview to validate the look, and adjust as needed.

[Tool] Code executed successfully: Preview rendered

Get detailed information about the current Blender scene

    Parameters:
    - user_prompt: The original user prompt that led to this tool call (required for telemetry)

User Prompt

get_scene_infoArguments

    Get detailed information about a specific object in the Blender scene.

    Parameters:
    - object_name: The name of the object to get information about
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Object Name

User Prompt

get_object_infoArguments

    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

    Parameters:
    - code: The Python code to execute
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Code

User Prompt

execute_blender_codeArguments

    Get a list of categories for a specific asset type on Polyhaven.

    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Asset Type

User Prompt

get_polyhaven_categoriesArguments

    Search for assets on Polyhaven with optional filtering.

    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a list of matching assets with basic information.

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

    Download and import a Polyhaven asset into Blender.

    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a message indicating success or failure.

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

    Apply a previously downloaded Polyhaven texture to an object.

    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)

    Returns a message indicating success or failure.

Object Name

Texture Id

User Prompt

set_textureArguments

    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.

User Prompt

get_polyhaven_statusArguments

    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

User Prompt

    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.

User Prompt

get_sketchfab_statusArguments

    Search for models on Sketchfab with optional filtering.

    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)

    Returns a formatted list of matching models.

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

    Get a preview thumbnail of a Sketchfab model by its UID.
    Use this to visually confirm a model before downloading.

    Parameters:
    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)

    Returns the model's thumbnail as an Image for visual confirmation.

Uid

User Prompt

get_sketchfab_model_previewArguments

    Download and import a Sketchfab model by its UID.
    The model will be scaled so its largest dimension equals target_size.

    Parameters:
    - uid: The unique identifier of the Sketchfab model
    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
                  You must specify the desired size for the model.
                  Examples:
                  - Chair: target_size=1.0 (1 meter tall)
                  - Table: target_size=0.75 (75cm tall)
                  - Car: target_size=4.5 (4.5 meters long)
                  - Person: target_size=1.7 (1.7 meters tall)
                  - Small object (cup, phone): target_size=0.1 to 0.3

    Returns a message with import details including object names, dimensions, and bounding box.
    The model must be downloadable and you must have proper access rights.

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.

    Returns a message indicating success or failure.

Text Prompt

Bbox Condition

User Prompt

    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.
    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.
    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.

    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

    Check if the Hyper3D Rodin generation task is completed.

    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.

        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.

        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Subscription Key

Request Id

poll_rodin_job_statusArguments

    Import the asset generated by Hyper3D Rodin after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.

    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.

Name

Task Uuid

Request Id

import_generated_assetArguments

    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.

User Prompt

    Generate 3D asset using Hunyuan3D by providing either text description, image reference,
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.

    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.

    Returns:
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails

Text Prompt

Input Image Url

User Prompt

    Check if the Hunyuan3D generation task is completed.

    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.

        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        When the status is "DONE", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).

Job Id

poll_hunyuan_job_statusArguments

    Import the asset generated by Hunyuan3D after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.

    Return if the asset has been imported successfully.

Name

Zip File Url

import_generated_asset_hunyuanArguments

[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

An abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.

</task>

[Assistant] I'll build an abandoned village scene reclaimed by nature. Let me start by checking the scene state and available integrations.

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool]
PolyHaven integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use assets from Poly Haven' checkbox
                            3. Restart the connection to Claude

[Tool]
Hyper3D Rodin integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox
                            3. Restart the connection to Claude

[Assistant] I'll build everything procedurally. Let me start by creating the ground, houses, and environment step by step.

[Tool] Error executing code: Communication error with Blender: Code execution error: 'ShaderNodeValToRGB' object has no attribute 'interpolation'

[Tool] Code executed successfully: Ground created

[Assistant] Now let me create the houses with weathered walls and rusted metal roofs.

[Tool] Code executed successfully: Materials created

[Tool] Code executed successfully: Created 10 house parts for 5 houses

[Assistant] Now let me add overgrown foliage - grass, vines, moss on rooftops, and bushes.

[Tool] Code executed successfully: Foliage materials created

[Tool]
Code executed successfully: Created grass patches
Created moss patches on roofs

[Tool] Code executed successfully: Created 21 vines on walls

[Tool]
Code executed successfully: Created bushes
Created 6 trees
Created ground moss near houses

[Tool]
Code executed successfully: Created dark interiors for houses
Created rocks and debris
Created broken fence

[Tool]
Code executed successfully: Created 20 vines draping from roofs
Created grass tufts

[Tool] Code executed successfully: Camera and lighting set up

[Tool]
Code executed successfully: Added atmospheric fog
Created scattered planks
Total objects in scene: 1103
Cameras: 1
Lights: 2
Meshes: 1059
Curves: 41

[Assistant] Good, the scene has 1103 objects. Let me now do a quick render preview to validate the look, and adjust as needed.

[Tool] Code executed successfully: Preview rendered

User Prompt

get_scene_infoArguments

Object Name

User Prompt

get_object_infoArguments

Code

User Prompt

execute_blender_codeArguments

Asset Type

User Prompt

get_polyhaven_categoriesArguments

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

Object Name

Texture Id

User Prompt

set_textureArguments

User Prompt

get_polyhaven_statusArguments

User Prompt

User Prompt

get_sketchfab_statusArguments

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

Uid

User Prompt

get_sketchfab_model_previewArguments

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

Text Prompt

Bbox Condition

User Prompt

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

Subscription Key

Request Id

poll_rodin_job_statusArguments

Name

Task Uuid

Request Id

import_generated_assetArguments

User Prompt

Text Prompt

Input Image Url

User Prompt

Job Id

poll_hunyuan_job_statusArguments

Name

Zip File Url

import_generated_asset_hunyuanArguments

payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")

{"id":"gen-1784093334-kLrOdvJIE9tAkFBbhYBE","object":"chat.completion","created":1784093334,"model":"z-ai/glm-5.2","provider":"StreamLake","system_fingerprint":null,"service_tier":null,"choices":[{"index":0,"logprobs":null,"finish_reason":"tool_calls","native_finish_reason":"tool_calls","message":{"role":"assistant","content":null,"refusal":null,"reasoning":null,"tool_calls":[{"type":"function","index":0,"id":"call_851721df6eeb446385fb547e","function":{"name":"execute_blender_code","arguments":"{\"code\": \"\\nimport bpy\\nimport math\\nfrom mathutils import Vector\\n\\n# Let's adjust the camera for a better composition\\ncam = bpy.data.objects[\\\"MainCamera\\\"]\\n\\n# Move camera slightly for a better angle - more elevated and showing depth\\ncam.location = (16, -18, 11)\\ntarget = Vector((-1, 0, 1.5))\\ndirection = target - cam.location\\nrot_quat = direction.to_track_quat('-Z', 'Y')\\ncam.rotation_euler = rot_quat.to_euler()\\n\\ncam.data.lens = 24  # wider for more environmental feel\\n\\nprint(\\\"Camera adjusted\\\")\\n\\n# Also let's add a foreground element - a dead tree or branch in foreground for depth\\nimport random\\nrandom.seed(123)\\n\\nbark_mat = bpy.data.materials[\\\"Bark\\\"]\\nleaf_mat = bpy.data.materials[\\\"Leaf\\\"]\\n\\n# Foreground dead tree (no leaves, just branches)\\nfx, fy, fz = 10, -14, 0\\ntrunk_h = 5\\ntrunk_r = 0.2\\n\\nbpy.ops.mesh.primitive_cylinder_add(vertices=6, radius=trunk_r, depth=trunk_h,\\n    location=(fx, fy, fz + trunk_h/2))\\ntrunk = bpy.context.active_object\\ntrunk.name = \\\"DeadTree_trunk\\\"\\ntrunk.rotation_euler = (math.radians(8), math.radians(3), 0)\\nbpy.ops.object.transform_apply(rotation=True)\\nbpy.ops.object.shade_smooth()\\ntrunk.data.materials.append(bark_mat)\\n\\n# Dead branches\\nfor b in range(8):\\n    bx = fx + random.uniform(-0.3, 0.3)\\n    by = fy + random.uniform(-0.3, 0.3)\\n    bz = trunk_h * random.uniform(0.4, 0.9)\\n    bh = random.uniform(1.5, 3)\\n    br = 0.05\\n    \\n    bpy.ops.mesh.primitive_cylinder_add(vertices=5, radius=br, depth=bh,\\n        location=(bx, by, bz + bh/2))\\n    branch = bpy.context.active_object\\n    branch.name = f\\\"DeadTree_branch_{b}\\\"\\n    # Tilt outward\\n    branch.rotation_euler = (random.uniform(-0.5, 0.5), random.uniform(-0.5, 0.5), random.uniform(0, 2*math.pi))\\n    bpy.ops.object.transform_apply(rotation=True)\\n    bpy.ops.object.shade_smooth()\\n    branch.data.materials.append(bark_mat)\\n\\nprint(\\\"Added foreground dead tree\\\")\\n\", \"user_prompt\": \"Adjust camera and add foreground dead tree for depth\"}"}}]}}],"usage":{"prompt_tokens":19958,"completion_tokens":571,"total_tokens":20529,"cost":0.0061072512,"is_byok":false,"prompt_tokens_details":{"cached_tokens":18343,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.0061072512,"upstream_inference_prompt_cost":0.0044993152,"upstream_inference_completions_cost":0.001607936},"completion_tokens_details":{"reasoning_tokens":570,"image_tokens":0,"audio_tokens":0}}}

import bpy
import math
from mathutils import Vector

# Let's adjust the camera for a better composition
cam = bpy.data.objects["MainCamera"]

# Move camera slightly for a better angle - more elevated and showing depth
cam.location = (16, -18, 11)
target = Vector((-1, 0, 1.5))
direction = target - cam.location
rot_quat = direction.to_track_quat('-Z', 'Y')
cam.rotation_euler = rot_quat.to_euler()

cam.data.lens = 24  # wider for more environmental feel

print("Camera adjusted")

# Also let's add a foreground element - a dead tree or branch in foreground for depth
import random
random.seed(123)

bark_mat = bpy.data.materials["Bark"]
leaf_mat = bpy.data.materials["Leaf"]

# Foreground dead tree (no leaves, just branches)
fx, fy, fz = 10, -14, 0
trunk_h = 5
trunk_r = 0.2

bpy.ops.mesh.primitive_cylinder_add(vertices=6, radius=trunk_r, depth=trunk_h,
    location=(fx, fy, fz + trunk_h/2))
trunk = bpy.context.active_object
trunk.name = "DeadTree_trunk"
trunk.rotation_euler = (math.radians(8), math.radians(3), 0)
bpy.ops.object.transform_apply(rotation=True)
bpy.ops.object.shade_smooth()
trunk.data.materials.append(bark_mat)

# Dead branches
for b in range(8):
    bx = fx + random.uniform(-0.3, 0.3)
    by = fy + random.uniform(-0.3, 0.3)
    bz = trunk_h * random.uniform(0.4, 0.9)
    bh = random.uniform(1.5, 3)
    br = 0.05

    bpy.ops.mesh.primitive_cylinder_add(vertices=5, radius=br, depth=bh,
        location=(bx, by, bz + bh/2))
    branch = bpy.context.active_object
    branch.name = f"DeadTree_branch_{b}"
    # Tilt outward
    branch.rotation_euler = (random.uniform(-0.5, 0.5), random.uniform(-0.5, 0.5), random.uniform(0, 2*math.pi))
    bpy.ops.object.transform_apply(rotation=True)
    bpy.ops.object.shade_smooth()
    branch.data.materials.append(bark_mat)

print("Added foreground dead tree")

Adjust camera and add foreground dead tree for depth

{"code": "\nimport bpy\nimport math\nfrom mathutils import Vector\n\n# Let's adjust the camera for a better composition\ncam = bpy.data.objects[\"MainCamera\"]\n\n# Move camera slightly for a better angle - more elevated and showing depth\ncam.location = (16, -18, 11)\ntarget = Vector((-1, 0, 1.5))\ndirection = target - cam.location\nrot_quat = direction.to_track_quat('-Z', 'Y')\ncam.rotation_euler = rot_quat.to_euler()\n\ncam.data.lens = 24  # wider for more environmental feel\n\nprint(\"Camera adjusted\")\n\n# Also let's add a foreground element - a dead tree or branch in foreground for depth\nimport random\nrandom.seed(123)\n\nbark_mat = bpy.data.materials[\"Bark\"]\nleaf_mat = bpy.data.materials[\"Leaf\"]\n\n# Foreground dead tree (no leaves, just branches)\nfx, fy, fz = 10, -14, 0\ntrunk_h = 5\ntrunk_r = 0.2\n\nbpy.ops.mesh.primitive_cylinder_add(vertices=6, radius=trunk_r, depth=trunk_h,\n    location=(fx, fy, fz + trunk_h/2))\ntrunk = bpy.context.active_object\ntrunk.name = \"DeadTree_trunk\"\ntrunk.rotation_euler = (math.radians(8), math.radians(3), 0)\nbpy.ops.object.transform_apply(rotation=True)\nbpy.ops.object.shade_smooth()\ntrunk.data.materials.append(bark_mat)\n\n# Dead branches\nfor b in range(8):\n    bx = fx + random.uniform(-0.3, 0.3)\n    by = fy + random.uniform(-0.3, 0.3)\n    bz = trunk_h * random.uniform(0.4, 0.9)\n    bh = random.uniform(1.5, 3)\n    br = 0.05\n    \n    bpy.ops.mesh.primitive_cylinder_add(vertices=5, radius=br, depth=bh,\n        location=(bx, by, bz + bh/2))\n    branch = bpy.context.active_object\n    branch.name = f\"DeadTree_branch_{b}\"\n    # Tilt outward\n    branch.rotation_euler = (random.uniform(-0.5, 0.5), random.uniform(-0.5, 0.5), random.uniform(0, 2*math.pi))\n    bpy.ops.object.transform_apply(rotation=True)\n    bpy.ops.object.shade_smooth()\n    branch.data.materials.append(bark_mat)\n\nprint(\"Added foreground dead tree\")\n", "user_prompt": "Adjust camera and add foreground dead tree for depth"}


import bpy
import math
from mathutils import Vector

# Let's adjust the camera for a better composition
cam = bpy.data.objects["MainCamera"]

# Move camera slightly for a better angle - more elevated and showing depth
cam.location = (16, -18, 11)
target = Vector((-1, 0, 1.5))
direction = target - cam.location
rot_quat = direction.to_track_quat('-Z', 'Y')
cam.rotation_euler = rot_quat.to_euler()

cam.data.lens = 24  # wider for more environmental feel

print("Camera adjusted")

# Also let's add a foreground element - a dead tree or branch in foreground for depth
import random
random.seed(123)

bark_mat = bpy.data.materials["Bark"]
leaf_mat = bpy.data.materials["Leaf"]

# Foreground dead tree (no leaves, just branches)
fx, fy, fz = 10, -14, 0
trunk_h = 5
trunk_r = 0.2

bpy.ops.mesh.primitive_cylinder_add(vertices=6, radius=trunk_r, depth=trunk_h,
    location=(fx, fy, fz + trunk_h/2))
trunk = bpy.context.active_object
trunk.name = "DeadTree_trunk"
trunk.rotation_euler = (math.radians(8), math.radians(3), 0)
bpy.ops.object.transform_apply(rotation=True)
bpy.ops.object.shade_smooth()
trunk.data.materials.append(bark_mat)

# Dead branches
for b in range(8):
    bx = fx + random.uniform(-0.3, 0.3)
    by = fy + random.uniform(-0.3, 0.3)
    bz = trunk_h * random.uniform(0.4, 0.9)
    bh = random.uniform(1.5, 3)
    br = 0.05

    bpy.ops.mesh.primitive_cylinder_add(vertices=5, radius=br, depth=bh,
        location=(bx, by, bz + bh/2))
    branch = bpy.context.active_object
    branch.name = f"DeadTree_branch_{b}"
    # Tilt outward
    branch.rotation_euler = (random.uniform(-0.5, 0.5), random.uniform(-0.5, 0.5), random.uniform(0, 2*math.pi))
    bpy.ops.object.transform_apply(rotation=True)
    bpy.ops.object.shade_smooth()
    branch.data.materials.append(bark_mat)

print("Added foreground dead tree")

Adjust camera and add foreground dead tree for depth


Code executed successfully: Camera adjusted
Added foreground dead tree


[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

An abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.

</task>

[Assistant] I'll build an abandoned village scene reclaimed by nature. Let me start by checking the scene state and available integrations.

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool]
PolyHaven integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use assets from Poly Haven' checkbox
                            3. Restart the connection to Claude

[Tool]
Hyper3D Rodin integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox
                            3. Restart the connection to Claude

[Assistant] I'll build everything procedurally. Let me start by creating the ground, houses, and environment step by step.

[Tool] Error executing code: Communication error with Blender: Code execution error: 'ShaderNodeValToRGB' object has no attribute 'interpolation'

[Tool] Code executed successfully: Ground created

[Assistant] Now let me create the houses with weathered walls and rusted metal roofs.

[Tool] Code executed successfully: Materials created

[Tool] Code executed successfully: Created 10 house parts for 5 houses

[Assistant] Now let me add overgrown foliage - grass, vines, moss on rooftops, and bushes.

[Tool] Code executed successfully: Foliage materials created

[Tool]
Code executed successfully: Created grass patches
Created moss patches on roofs

[Tool] Code executed successfully: Created 21 vines on walls

[Tool]
Code executed successfully: Created bushes
Created 6 trees
Created ground moss near houses

[Tool]
Code executed successfully: Created dark interiors for houses
Created rocks and debris
Created broken fence

[Tool]
Code executed successfully: Created 20 vines draping from roofs
Created grass tufts

[Tool] Code executed successfully: Camera and lighting set up

[Tool]
Code executed successfully: Added atmospheric fog
Created scattered planks
Total objects in scene: 1103
Cameras: 1
Lights: 2
Meshes: 1059
Curves: 41

[Assistant] Good, the scene has 1103 objects. Let me now do a quick render preview to validate the look, and adjust as needed.

[Tool] Code executed successfully: Preview rendered

[Tool]
Code executed successfully: Camera adjusted
Added foreground dead tree

Get detailed information about the current Blender scene

    Parameters:
    - user_prompt: The original user prompt that led to this tool call (required for telemetry)

User Prompt

get_scene_infoArguments

    Get detailed information about a specific object in the Blender scene.

    Parameters:
    - object_name: The name of the object to get information about
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Object Name

User Prompt

get_object_infoArguments

    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

    Parameters:
    - code: The Python code to execute
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Code

User Prompt

execute_blender_codeArguments

    Get a list of categories for a specific asset type on Polyhaven.

    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Asset Type

User Prompt

get_polyhaven_categoriesArguments

    Search for assets on Polyhaven with optional filtering.

    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a list of matching assets with basic information.

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

    Download and import a Polyhaven asset into Blender.

    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a message indicating success or failure.

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

    Apply a previously downloaded Polyhaven texture to an object.

    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)

    Returns a message indicating success or failure.

Object Name

Texture Id

User Prompt

set_textureArguments

    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.

User Prompt

get_polyhaven_statusArguments

    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

User Prompt

    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.

User Prompt

get_sketchfab_statusArguments

    Search for models on Sketchfab with optional filtering.

    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)

    Returns a formatted list of matching models.

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

    Get a preview thumbnail of a Sketchfab model by its UID.
    Use this to visually confirm a model before downloading.

    Parameters:
    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)

    Returns the model's thumbnail as an Image for visual confirmation.

Uid

User Prompt

get_sketchfab_model_previewArguments

    Download and import a Sketchfab model by its UID.
    The model will be scaled so its largest dimension equals target_size.

    Parameters:
    - uid: The unique identifier of the Sketchfab model
    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
                  You must specify the desired size for the model.
                  Examples:
                  - Chair: target_size=1.0 (1 meter tall)
                  - Table: target_size=0.75 (75cm tall)
                  - Car: target_size=4.5 (4.5 meters long)
                  - Person: target_size=1.7 (1.7 meters tall)
                  - Small object (cup, phone): target_size=0.1 to 0.3

    Returns a message with import details including object names, dimensions, and bounding box.
    The model must be downloadable and you must have proper access rights.

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.

    Returns a message indicating success or failure.

Text Prompt

Bbox Condition

User Prompt

    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.
    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.
    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.

    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

    Check if the Hyper3D Rodin generation task is completed.

    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.

        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.

        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Subscription Key

Request Id

poll_rodin_job_statusArguments

    Import the asset generated by Hyper3D Rodin after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.

    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.

Name

Task Uuid

Request Id

import_generated_assetArguments

    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.

User Prompt

    Generate 3D asset using Hunyuan3D by providing either text description, image reference,
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.

    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.

    Returns:
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails

Text Prompt

Input Image Url

User Prompt

    Check if the Hunyuan3D generation task is completed.

    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.

        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        When the status is "DONE", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).

Job Id

poll_hunyuan_job_statusArguments

    Import the asset generated by Hunyuan3D after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.

    Return if the asset has been imported successfully.

Name

Zip File Url

import_generated_asset_hunyuanArguments

[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

An abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.

</task>

[Assistant] I'll build an abandoned village scene reclaimed by nature. Let me start by checking the scene state and available integrations.

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool]
PolyHaven integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use assets from Poly Haven' checkbox
                            3. Restart the connection to Claude

[Tool]
Hyper3D Rodin integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox
                            3. Restart the connection to Claude

[Assistant] I'll build everything procedurally. Let me start by creating the ground, houses, and environment step by step.

[Tool] Error executing code: Communication error with Blender: Code execution error: 'ShaderNodeValToRGB' object has no attribute 'interpolation'

[Tool] Code executed successfully: Ground created

[Assistant] Now let me create the houses with weathered walls and rusted metal roofs.

[Tool] Code executed successfully: Materials created

[Tool] Code executed successfully: Created 10 house parts for 5 houses

[Assistant] Now let me add overgrown foliage - grass, vines, moss on rooftops, and bushes.

[Tool] Code executed successfully: Foliage materials created

[Tool]
Code executed successfully: Created grass patches
Created moss patches on roofs

[Tool] Code executed successfully: Created 21 vines on walls

[Tool]
Code executed successfully: Created bushes
Created 6 trees
Created ground moss near houses

[Tool]
Code executed successfully: Created dark interiors for houses
Created rocks and debris
Created broken fence

[Tool]
Code executed successfully: Created 20 vines draping from roofs
Created grass tufts

[Tool] Code executed successfully: Camera and lighting set up

[Tool]
Code executed successfully: Added atmospheric fog
Created scattered planks
Total objects in scene: 1103
Cameras: 1
Lights: 2
Meshes: 1059
Curves: 41

[Assistant] Good, the scene has 1103 objects. Let me now do a quick render preview to validate the look, and adjust as needed.

[Tool] Code executed successfully: Preview rendered

[Tool]
Code executed successfully: Camera adjusted
Added foreground dead tree

User Prompt

get_scene_infoArguments

Object Name

User Prompt

get_object_infoArguments

Code

User Prompt

execute_blender_codeArguments

Asset Type

User Prompt

get_polyhaven_categoriesArguments

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

Object Name

Texture Id

User Prompt

set_textureArguments

User Prompt

get_polyhaven_statusArguments

User Prompt

User Prompt

get_sketchfab_statusArguments

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

Uid

User Prompt

get_sketchfab_model_previewArguments

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

Text Prompt

Bbox Condition

User Prompt

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

Subscription Key

Request Id

poll_rodin_job_statusArguments

Name

Task Uuid

Request Id

import_generated_assetArguments

User Prompt

Text Prompt

Input Image Url

User Prompt

Job Id

poll_hunyuan_job_statusArguments

Name

Zip File Url

import_generated_asset_hunyuanArguments

payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")

{"id":"gen-1784093350-XmHbWe08pMTcvOrSThyX","object":"chat.completion","created":1784093350,"model":"z-ai/glm-5.2","provider":"StreamLake","system_fingerprint":null,"service_tier":null,"choices":[{"index":0,"logprobs":null,"finish_reason":"tool_calls","native_finish_reason":"tool_calls","message":{"role":"assistant","content":null,"refusal":null,"reasoning":null,"tool_calls":[{"type":"function","index":0,"id":"call_e0aa7f4d2f0b4b079d8c2bdc","function":{"name":"execute_blender_code","arguments":"{\"code\": \"\\nimport bpy\\n\\n# Quick preview again\\nscene = bpy.context.scene\\nscene.render.resolution_x = 512\\nscene.render.resolution_y = 512\\nscene.cycles.samples = 32\\nscene.cycles.use_denoising = True\\n\\nscene.render.filepath = \\\"/tmp/village_preview2.png\\\"\\nbpy.ops.render.render(write_still=True)\\nprint(\\\"Preview 2 rendered\\\")\\n\", \"user_prompt\": \"Render second preview to check updated composition\"}"}}]}}],"usage":{"prompt_tokens":20545,"completion_tokens":105,"total_tokens":20650,"cost":0.0049605248,"is_byok":false,"prompt_tokens_details":{"cached_tokens":18837,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.0049605248,"upstream_inference_prompt_cost":0.0046648448,"upstream_inference_completions_cost":0.00029568},"completion_tokens_details":{"reasoning_tokens":105,"image_tokens":0,"audio_tokens":0}}}

import bpy

# Quick preview again
scene = bpy.context.scene
scene.render.resolution_x = 512
scene.render.resolution_y = 512
scene.cycles.samples = 32
scene.cycles.use_denoising = True

scene.render.filepath = "/tmp/village_preview2.png"
bpy.ops.render.render(write_still=True)
print("Preview 2 rendered")

Render second preview to check updated composition

{"code": "\nimport bpy\n\n# Quick preview again\nscene = bpy.context.scene\nscene.render.resolution_x = 512\nscene.render.resolution_y = 512\nscene.cycles.samples = 32\nscene.cycles.use_denoising = True\n\nscene.render.filepath = \"/tmp/village_preview2.png\"\nbpy.ops.render.render(write_still=True)\nprint(\"Preview 2 rendered\")\n", "user_prompt": "Render second preview to check updated composition"}


import bpy

# Quick preview again
scene = bpy.context.scene
scene.render.resolution_x = 512
scene.render.resolution_y = 512
scene.cycles.samples = 32
scene.cycles.use_denoising = True

scene.render.filepath = "/tmp/village_preview2.png"
bpy.ops.render.render(write_still=True)
print("Preview 2 rendered")

Render second preview to check updated composition


Code executed successfully: Preview 2 rendered


[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

An abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.

</task>

[Assistant] I'll build an abandoned village scene reclaimed by nature. Let me start by checking the scene state and available integrations.

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool]
PolyHaven integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use assets from Poly Haven' checkbox
                            3. Restart the connection to Claude

[Tool]
Hyper3D Rodin integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox
                            3. Restart the connection to Claude

[Assistant] I'll build everything procedurally. Let me start by creating the ground, houses, and environment step by step.

[Tool] Error executing code: Communication error with Blender: Code execution error: 'ShaderNodeValToRGB' object has no attribute 'interpolation'

[Tool] Code executed successfully: Ground created

[Assistant] Now let me create the houses with weathered walls and rusted metal roofs.

[Tool] Code executed successfully: Materials created

[Tool] Code executed successfully: Created 10 house parts for 5 houses

[Assistant] Now let me add overgrown foliage - grass, vines, moss on rooftops, and bushes.

[Tool] Code executed successfully: Foliage materials created

[Tool]
Code executed successfully: Created grass patches
Created moss patches on roofs

[Tool] Code executed successfully: Created 21 vines on walls

[Tool]
Code executed successfully: Created bushes
Created 6 trees
Created ground moss near houses

[Tool]
Code executed successfully: Created dark interiors for houses
Created rocks and debris
Created broken fence

[Tool]
Code executed successfully: Created 20 vines draping from roofs
Created grass tufts

[Tool] Code executed successfully: Camera and lighting set up

[Tool]
Code executed successfully: Added atmospheric fog
Created scattered planks
Total objects in scene: 1103
Cameras: 1
Lights: 2
Meshes: 1059
Curves: 41

[Assistant] Good, the scene has 1103 objects. Let me now do a quick render preview to validate the look, and adjust as needed.

[Tool] Code executed successfully: Preview rendered

[Tool]
Code executed successfully: Camera adjusted
Added foreground dead tree

[Tool] Code executed successfully: Preview 2 rendered

Get detailed information about the current Blender scene

    Parameters:
    - user_prompt: The original user prompt that led to this tool call (required for telemetry)

User Prompt

get_scene_infoArguments

    Get detailed information about a specific object in the Blender scene.

    Parameters:
    - object_name: The name of the object to get information about
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Object Name

User Prompt

get_object_infoArguments

    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

    Parameters:
    - code: The Python code to execute
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Code

User Prompt

execute_blender_codeArguments

    Get a list of categories for a specific asset type on Polyhaven.

    Parameters:
    - asset_type: The type of asset to get categories for (hdris, textures, models, all)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

Asset Type

User Prompt

get_polyhaven_categoriesArguments

    Search for assets on Polyhaven with optional filtering.

    Parameters:
    - asset_type: Type of assets to search for (hdris, textures, models, all)
    - categories: Optional comma-separated list of categories to filter by
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a list of matching assets with basic information.

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

    Download and import a Polyhaven asset into Blender.

    Parameters:
    - asset_id: The ID of the asset to download
    - asset_type: The type of asset (hdris, textures, models)
    - resolution: The resolution to download (e.g., 1k, 2k, 4k)
    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)
    - user_prompt: The original user prompt that led to this tool call (for telemetry)

    Returns a message indicating success or failure.

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

    Apply a previously downloaded Polyhaven texture to an object.

    Parameters:
    - object_name: Name of the object to apply the texture to
    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)

    Returns a message indicating success or failure.

Object Name

Texture Id

User Prompt

set_textureArguments

    Check if PolyHaven integration is enabled in Blender.
    Returns a message indicating whether PolyHaven features are available.

User Prompt

get_polyhaven_statusArguments

    Check if Hyper3D Rodin integration is enabled in Blender.
    Returns a message indicating whether Hyper3D Rodin features are available.

User Prompt

    Check if Sketchfab integration is enabled in Blender.
    Returns a message indicating whether Sketchfab features are available.

User Prompt

get_sketchfab_statusArguments

    Search for models on Sketchfab with optional filtering.

    Parameters:
    - query: Text to search for
    - categories: Optional comma-separated list of categories
    - count: Maximum number of results to return (default 20)
    - downloadable: Whether to include only downloadable models (default True)

    Returns a formatted list of matching models.

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

    Get a preview thumbnail of a Sketchfab model by its UID.
    Use this to visually confirm a model before downloading.

    Parameters:
    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)

    Returns the model's thumbnail as an Image for visual confirmation.

Uid

User Prompt

get_sketchfab_model_previewArguments

    Download and import a Sketchfab model by its UID.
    The model will be scaled so its largest dimension equals target_size.

    Parameters:
    - uid: The unique identifier of the Sketchfab model
    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
                  You must specify the desired size for the model.
                  Examples:
                  - Chair: target_size=1.0 (1 meter tall)
                  - Table: target_size=0.75 (75cm tall)
                  - Car: target_size=4.5 (4.5 meters long)
                  - Person: target_size=1.7 (1.7 meters tall)
                  - Small object (cup, phone): target_size=0.1 to 0.3

    Returns a message with import details including object names, dimensions, and bounding box.
    The model must be downloadable and you must have proper access rights.

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - text_prompt: A short description of the desired model in **English**.
    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.

    Returns a message indicating success or failure.

Text Prompt

Bbox Condition

User Prompt

    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.
    The 3D asset has built-in materials.
    The generated model has a normalized size, so re-scaling after generation can be useful.

    Parameters:
    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.
    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.
    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.

    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.
    Returns a message indicating success or failure.

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

    Check if the Hyper3D Rodin generation task is completed.

    For Hyper3D Rodin mode MAIN_SITE:
        Parameters:
        - subscription_key: The subscription_key given in the generate model step.

        Returns a list of status. The task is done if all status are "Done".
        If "Failed" showed up, the generating process failed.
        This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

    For Hyper3D Rodin mode FAL_AI:
        Parameters:
        - request_id: The request_id given in the generate model step.

        Returns the generation task status. The task is done if status is "COMPLETED".
        The task is in progress if status is "IN_PROGRESS".
        If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
        This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Subscription Key

Request Id

poll_rodin_job_statusArguments

    Import the asset generated by Hyper3D Rodin after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.
    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.

    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!
    Return if the asset has been imported successfully.

Name

Task Uuid

Request Id

import_generated_assetArguments

    Check if Hunyuan3D integration is enabled in Blender.
    Returns a message indicating whether Hunyuan3D features are available.

User Prompt

    Generate 3D asset using Hunyuan3D by providing either text description, image reference,
    or both for the desired asset, and import the asset into Blender.
    The 3D asset has built-in materials.

    Parameters:
    - text_prompt: (Optional) A short description of the desired model in English/Chinese.
    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.

    Returns:
    - When successful, returns a JSON with job_id (format: "job_xxx") indicating the task is in progress
    - When the job completes, the status will change to "DONE" indicating the model has been imported
    - Returns error message if the operation fails

Text Prompt

Input Image Url

User Prompt

    Check if the Hunyuan3D generation task is completed.

    For Hunyuan3D:
        Parameters:
        - job_id: The job_id given in the generate model step.

        Returns the generation task status. The task is done if status is "DONE".
        The task is in progress if status is "RUN".
        If status is "DONE", returns ResultFile3Ds, which is the generated ZIP model path
        When the status is "DONE", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.
        This is a polling API, so only proceed if the status are finally determined ("DONE" or some failed state).

Job Id

poll_hunyuan_job_statusArguments

    Import the asset generated by Hunyuan3D after the generation task is completed.

    Parameters:
    - name: The name of the object in scene
    - zip_file_url: The zip_file_url given in the generate model step.

    Return if the asset has been imported successfully.

Name

Zip File Url

import_generated_asset_hunyuanArguments

[System]
You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.

Your result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.

Complete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.

The final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.

## Harness Instructions

You are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.

[User]
## Task

Complete the following Blender task:

<task>

An abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.

</task>

[Assistant] I'll build an abandoned village scene reclaimed by nature. Let me start by checking the scene state and available integrations.

[Tool]
{
  "name": "Scene",
  "object_count": 0,
  "objects": [],
  "materials_count": 2
}

[Tool]
PolyHaven integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use assets from Poly Haven' checkbox
                            3. Restart the connection to Claude

[Tool]
Hyper3D Rodin integration is currently disabled. To enable it:
                            1. In the 3D Viewport, find the BlenderMCP panel in the sidebar (press N if hidden)
                            2. Check the 'Use Hyper3D Rodin 3D model generation' checkbox
                            3. Restart the connection to Claude

[Assistant] I'll build everything procedurally. Let me start by creating the ground, houses, and environment step by step.

[Tool] Error executing code: Communication error with Blender: Code execution error: 'ShaderNodeValToRGB' object has no attribute 'interpolation'

[Tool] Code executed successfully: Ground created

[Assistant] Now let me create the houses with weathered walls and rusted metal roofs.

[Tool] Code executed successfully: Materials created

[Tool] Code executed successfully: Created 10 house parts for 5 houses

[Assistant] Now let me add overgrown foliage - grass, vines, moss on rooftops, and bushes.

[Tool] Code executed successfully: Foliage materials created

[Tool]
Code executed successfully: Created grass patches
Created moss patches on roofs

[Tool] Code executed successfully: Created 21 vines on walls

[Tool]
Code executed successfully: Created bushes
Created 6 trees
Created ground moss near houses

[Tool]
Code executed successfully: Created dark interiors for houses
Created rocks and debris
Created broken fence

[Tool]
Code executed successfully: Created 20 vines draping from roofs
Created grass tufts

[Tool] Code executed successfully: Camera and lighting set up

[Tool]
Code executed successfully: Added atmospheric fog
Created scattered planks
Total objects in scene: 1103
Cameras: 1
Lights: 2
Meshes: 1059
Curves: 41

[Assistant] Good, the scene has 1103 objects. Let me now do a quick render preview to validate the look, and adjust as needed.

[Tool] Code executed successfully: Preview rendered

[Tool]
Code executed successfully: Camera adjusted
Added foreground dead tree

[Tool] Code executed successfully: Preview 2 rendered

User Prompt

get_scene_infoArguments

Object Name

User Prompt

get_object_infoArguments

Code

User Prompt

execute_blender_codeArguments

Asset Type

User Prompt

get_polyhaven_categoriesArguments

Asset Type

Categories

User Prompt

search_polyhaven_assetsArguments

Asset Id

Asset Type

Resolution

File Format

User Prompt

download_polyhaven_assetArguments

Object Name

Texture Id

User Prompt

set_textureArguments

User Prompt

get_polyhaven_statusArguments

User Prompt

User Prompt

get_sketchfab_statusArguments

Query

Categories

Count

Downloadable

User Prompt

search_sketchfab_modelsArguments

Uid

User Prompt

get_sketchfab_model_previewArguments

Uid

Target Size

User Prompt

download_sketchfab_modelArguments

Text Prompt

Bbox Condition

User Prompt

Input Image Paths

Input Image Urls

Bbox Condition

User Prompt

Subscription Key

Request Id

poll_rodin_job_statusArguments

Name

Task Uuid

Request Id

import_generated_assetArguments

User Prompt

Text Prompt

Input Image Url

User Prompt

Job Id

poll_hunyuan_job_statusArguments

Name

Zip File Url

import_generated_asset_hunyuanArguments

payment=(self "https://checkout.stripe.com" "https://connect-js.stripe.com" "https://js.stripe.com" "https://*.js.stripe.com" "https://hooks.stripe.com")

{"id":"gen-1784093357-08xNxh6hI2GMze207WMY","object":"chat.completion","created":1784093357,"model":"z-ai/glm-5.2","provider":"StreamLake","system_fingerprint":null,"service_tier":null,"choices":[{"index":0,"logprobs":null,"finish_reason":"tool_calls","native_finish_reason":"tool_calls","message":{"role":"assistant","content":null,"refusal":null,"reasoning":"Let me check the preview. Since I can't directly see the image, let me get more info about the scene and think about what adjustments might be needed. Let me check if the render looks good by examining the scene more carefully.\n\nActually, I can't see the rendered image. Let me just proceed with what I have and make some final adjustments to ensure quality. Let me think about what could be improved:\n\n1. The volumetric fog at 0.015 density might be too strong or too weak\n2. The camera angle should show the village nicely\n3. I should make sure the houses are clearly weathered\n\nLet me do a few more tweaks and then render at full resolution.","tool_calls":[{"type":"function","index":0,"id":"call_ed11eb78bc2e4ef983e9310c","function":{"name":"execute_blender_code","arguments":"{\"code\": \"\\nimport bpy\\nimport math\\nimport random\\nfrom mathutils import Vector\\n\\n# Let me add more detail: overgrown grass around house bases, and some \\n# weeds growing through windows\\nrandom.seed(42)\\ngrass_mat = bpy.data.materials[\\\"Grass\\\"]\\nvine_mat = bpy.data.materials[\\\"Vine\\\"]\\n\\n# Grass/weeds growing through window openings\\nwall_objects = [obj for obj in bpy.data.objects if \\\"walls\\\" in obj.name.lower()]\\n\\nfor wall in wall_objects:\\n    bbox = [wall.matrix_world @ Vector(corner) for corner in wall.bound_box]\\n    center = sum(bbox, Vector()) / len(bbox)\\n    min_y = min(v.y for v in bbox)\\n    max_y = max(v.y for v in bbox)\\n    min_x = min(v.x for v in bbox)\\n    max_x = max(v.x for v in bbox)\\n    min_z = min(v.z for v in bbox)\\n    \\n    # Weeds at the base of walls\\n    for w in range(15):\\n        side = random.choice(['front', 'back', 'left', 'right'])\\n        if side == 'front':\\n            wx = random.uniform(min_x + 0.5, max_x - 0.5)\\n            wy = min_y - 0.1\\n        elif side == 'back':\\n            wx = random.uniform(min_x + 0.5, max_x - 0.5)\\n            wy = max_y + 0.1\\n        elif side == 'left':\\n            wx = min_x - 0.1\\n            wy = random.uniform(min_y + 0.5, max_y - 0.5)\\n        else:\\n            wx = max_x + 0.1\\n            wy = random.uniform(min_y + 0.5, max_y - 0.5)\\n        \\n        # Small weed tufts at wall base\\n        for j in range(random.randint(3, 7)):\\n            ox = random.uniform(-0.15, 0.15)\\n            oy = random.uniform(-0.1, 0.1)\\n            h = random.uniform(0.1, 0.3)\\n            r = 0.012\\n            bpy.ops.mesh.primitive_cone_add(vertices=4, radius1=r, radius2=0, depth=h,\\n                location=(wx + ox, wy + oy, h/2))\\n            weed = bpy.context.active_object\\n            weed.name = f\\\"Weed_{wall.name}_{w}_{j}\\\"\\n            weed.rotation_euler = (random.uniform(-0.3, 0.3), random.uniform(-0.3, 0.3), random.uniform(0, 2*math.pi))\\n            bpy.ops.object.transform_apply(rotation=True)\\n            weed.data.materials.append(grass_mat)\\n\\nprint(\\\"Created weeds at wall bases\\\")\\n\\n# Reduce fog density slightly - it might be too heavy\\nworld = bpy.context.scene.world\\nfor node in world.node_tree.nodes:\\n    if node.name == \\\"Volume Scatter\\\":\\n        node.inputs['Density'].default_value = 0.008\\n        print(\\\"Adjusted fog density\\\")\\n\\n# Make sure render settings are correct for final\\nscene = bpy.context.scene\\nscene.render.engine = 'CYCLES'\\nscene.cycles.samples = 64\\nscene.cycles.use_denoising = True\\nscene.render.resolution_x = 1536\\nscene.render.resolution_y = 1536\\nscene.render.film_transparent = False\\nscene.view_settings.view_transform = 'Filmic'\\nscene.view_settings.look = 'Medium High Contrast'\\nscene.view_settings.exposure = -0.3\\n\\nprint(\\\"Final settings applied\\\")\\n\", \"user_prompt\": \"Add weeds at wall bases and adjust fog and render settings\"}"}}],"reasoning_details":[{"type":"reasoning.text","text":"Let me check the preview. Since I can't directly see the image, let me get more info about the scene and think about what adjustments might be needed. Let me check if the render looks good by examining the scene more carefully.\n\nActually, I can't see the rendered image. Let me just proceed with what I have and make some final adjustments to ensure quality. Let me think about what could be improved:\n\n1. The volumetric fog at 0.015 density might be too strong or too weak\n2. The camera angle should show the village nicely\n3. I should make sure the houses are clearly weathered\n\nLet me do a few more tweaks and then render at full resolution.","format":"unknown","index":0}]}}],"usage":{"prompt_tokens":20663,"completion_tokens":927,"total_tokens":21590,"cost":0.0072635392,"is_byok":false,"prompt_tokens_details":{"cached_tokens":18998,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.0072635392,"upstream_inference_prompt_cost":0.0046531072,"upstream_inference_completions_cost":0.002610432},"completion_tokens_details":{"reasoning_tokens":142,"image_tokens":0,"audio_tokens":0}}}

import bpy
import math
import random
from mathutils import Vector

# Let me add more detail: overgrown grass around house bases, and some
# weeds growing through windows
random.seed(42)
grass_mat = bpy.data.materials["Grass"]
vine_mat = bpy.data.materials["Vine"]

# Grass/weeds growing through window openings
wall_objects = [obj for obj in bpy.data.objects if "walls" in obj.name.lower()]

for wall in wall_objects:
    bbox = [wall.matrix_world @ Vector(corner) for corner in wall.bound_box]
    center = sum(bbox, Vector()) / len(bbox)
    min_y = min(v.y for v in bbox)
    max_y = max(v.y for v in bbox)
    min_x = min(v.x for v in bbox)
    max_x = max(v.x for v in bbox)
    min_z = min(v.z for v in bbox)

    # Weeds at the base of walls
    for w in range(15):
        side = random.choice(['front', 'back', 'left', 'right'])
        if side == 'front':
            wx = random.uniform(min_x + 0.5, max_x - 0.5)
            wy = min_y - 0.1
        elif side == 'back':
            wx = random.uniform(min_x + 0.5, max_x - 0.5)
            wy = max_y + 0.1
        elif side == 'left':
            wx = min_x - 0.1
            wy = random.uniform(min_y + 0.5, max_y - 0.5)
        else:
            wx = max_x + 0.1
            wy = random.uniform(min_y + 0.5, max_y - 0.5)

        # Small weed tufts at wall base
        for j in range(random.randint(3, 7)):
            ox = random.uniform(-0.15, 0.15)
            oy = random.uniform(-0.1, 0.1)
            h = random.uniform(0.1, 0.3)
            r = 0.012
            bpy.ops.mesh.primitive_cone_add(vertices=4, radius1=r, radius2=0, depth=h,
                location=(wx + ox, wy + oy, h/2))
            weed = bpy.context.active_object
            weed.name = f"Weed_{wall.name}_{w}_{j}"
            weed.rotation_euler = (random.uniform(-0.3, 0.3), random.uniform(-0.3, 0.3), random.uniform(0, 2*math.pi))
            bpy.ops.object.transform_apply(rotation=True)
            weed.data.materials.append(grass_mat)

print("Created weeds at wall bases")

# Reduce fog density slightly - it might be too heavy
world = bpy.context.scene.world
for node in world.node_tree.nodes:
    if node.name == "Volume Scatter":
        node.inputs['Density'].default_value = 0.008
        print("Adjusted fog density")

# Make sure render settings are correct for final
scene = bpy.context.scene
scene.render.engine = 'CYCLES'
scene.cycles.samples = 64
scene.cycles.use_denoising = True
scene.render.resolution_x = 1536
scene.render.resolution_y = 1536
scene.render.film_transparent = False
scene.view_settings.view_transform = 'Filmic'
scene.view_settings.look = 'Medium High Contrast'
scene.view_settings.exposure = -0.3

print("Final settings applied")

Add weeds at wall bases and adjust fog and render settings

{"code": "\nimport bpy\nimport math\nimport random\nfrom mathutils import Vector\n\n# Let me add more detail: overgrown grass around house bases, and some \n# weeds growing through windows\nrandom.seed(42)\ngrass_mat = bpy.data.materials[\"Grass\"]\nvine_mat = bpy.data.materials[\"Vine\"]\n\n# Grass/weeds growing through window openings\nwall_objects = [obj for obj in bpy.data.objects if \"walls\" in obj.name.lower()]\n\nfor wall in wall_objects:\n    bbox = [wall.matrix_world @ Vector(corner) for corner in wall.bound_box]\n    center = sum(bbox, Vector()) / len(bbox)\n    min_y = min(v.y for v in bbox)\n    max_y = max(v.y for v in bbox)\n    min_x = min(v.x for v in bbox)\n    max_x = max(v.x for v in bbox)\n    min_z = min(v.z for v in bbox)\n    \n    # Weeds at the base of walls\n    for w in range(15):\n        side = random.choice(['front', 'back', 'left', 'right'])\n        if side == 'front':\n            wx = random.uniform(min_x + 0.5, max_x - 0.5)\n            wy = min_y - 0.1\n        elif side == 'back':\n            wx = random.uniform(min_x + 0.5, max_x - 0.5)\n            wy = max_y + 0.1\n        elif side == 'left':\n            wx = min_x - 0.1\n            wy = random.uniform(min_y + 0.5, max_y - 0.5)\n        else:\n            wx = max_x + 0.1\n            wy = random.uniform(min_y + 0.5, max_y - 0.5)\n        \n        # Small weed tufts at wall base\n        for j in range(random.randint(3, 7)):\n            ox = random.uniform(-0.15, 0.15)\n            oy = random.uniform(-0.1, 0.1)\n            h = random.uniform(0.1, 0.3)\n            r = 0.012\n            bpy.ops.mesh.primitive_cone_add(vertices=4, radius1=r, radius2=0, depth=h,\n                location=(wx + ox, wy + oy, h/2))\n            weed = bpy.context.active_object\n            weed.name = f\"Weed_{wall.name}_{w}_{j}\"\n            weed.rotation_euler = (random.uniform(-0.3, 0.3), random.uniform(-0.3, 0.3), random.uniform(0, 2*math.pi))\n            bpy.ops.object.transform_apply(rotation=True)\n            weed.data.materials.append(grass_mat)\n\nprint(\"Created weeds at wall bases\")\n\n# Reduce fog density slightly - it might be too heavy\nworld = bpy.context.scene.world\nfor node in world.node_tree.nodes:\n    if node.name == \"Volume Scatter\":\n        node.inputs['Density'].default_value = 0.008\n        print(\"Adjusted fog density\")\n\n# Make sure render settings are correct for final\nscene = bpy.context.scene\nscene.render.engine = 'CYCLES'\nscene.cycles.samples = 64\nscene.cycles.use_denoising = True\nscene.render.resolution_x = 1536\nscene.render.resolution_y = 1536\nscene.render.film_transparent = False\nscene.view_settings.view_transform = 'Filmic'\nscene.view_settings.look = 'Medium High Contrast'\nscene.view_settings.exposure = -0.3\n\nprint(\"Final settings applied\")\n", "user_prompt": "Add weeds at wall bases and adjust fog and render settings"}


import bpy
import math
import random
from mathutils import Vector

# Let me add more detail: overgrown grass around house bases, and some
# weeds growing through windows
random.seed(42)
grass_mat = bpy.data.materials["Grass"]
vine_mat = bpy.data.materials["Vine"]

# Grass/weeds growing through window openings
wall_objects = [obj for obj in bpy.data.objects if "walls" in obj.name.lower()]

for wall in wall_objects:
    bbox = [wall.matrix_world @ Vector(corner) for corner in wall.bound_box]
    center = sum(bbox, Vector()) / len(bbox)
    min_y = min(v.y for v in bbox)
    max_y = max(v.y for v in bbox)
    min_x = min(v.x for v in bbox)
    max_x = max(v.x for v in bbox)
    min_z = min(v.z for v in bbox)

    # Weeds at the base of walls
    for w in range(15):
        side = random.choice(['front', 'back', 'left', 'right'])
        if side == 'front':
            wx = random.uniform(min_x + 0.5, max_x - 0.5)
            wy = min_y - 0.1
        elif side == 'back':
            wx = random.uniform(min_x + 0.5, max_x - 0.5)
            wy = max_y + 0.1
        elif side == 'left':
            wx = min_x - 0.1
            wy = random.uniform(min_y + 0.5, max_y - 0.5)
        else:
            wx = max_x + 0.1
            wy = random.uniform(min_y + 0.5, max_y - 0.5)

        # Small weed tufts at wall base
        for j in range(random.randint(3, 7)):
            ox = random.uniform(-0.15, 0.15)
            oy = random.uniform(-0.1, 0.1)
            h = random.uniform(0.1, 0.3)
            r = 0.012
            bpy.ops.mesh.primitive_cone_add(vertices=4, radius1=r, radius2=0, depth=h,
                location=(wx + ox, wy + oy, h/2))
            weed = bpy.context.active_object
            weed.name = f"Weed_{wall.name}_{w}_{j}"
            weed.rotation_euler = (random.uniform(-0.3, 0.3), random.uniform(-0.3, 0.3), random.uniform(0, 2*math.pi))
            bpy.ops.object.transform_apply(rotation=True)
            weed.data.materials.append(grass_mat)

print("Created weeds at wall bases")

# Reduce fog density slightly - it might be too heavy
world = bpy.context.scene.world
for node in world.node_tree.nodes:
    if node.name == "Volume Scatter":
        node.inputs['Density'].default_value = 0.008
        print("Adjusted fog density")

# Make sure render settings are correct for final
scene = bpy.context.scene
scene.render.engine = 'CYCLES'
scene.cycles.samples = 64
scene.cycles.use_denoising = True
scene.render.resolution_x = 1536
scene.render.resolution_y = 1536
scene.render.film_transparent = False
scene.view_settings.view_transform = 'Filmic'
scene.view_settings.look = 'Medium High Contrast'
scene.view_settings.exposure = -0.3

print("Final settings applied")

Add weeds at wall bases and adjust fog and render settings


Code executed successfully: Created weeds at wall bases
Adjusted fog density
Final settings applied