[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 on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.

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 2D presentation 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. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. 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.

The interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.

## Harness Instructions

You are writing a single Python script for Blender 5.1 using the bpy API. The scene starts empty. Your script must build everything the user's prompt asks for.

You are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. 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. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it.

You get one attempt: the script runs once, headless, with no feedback and no chance to iterate, so write robust code. Reply with exactly one fenced Python code block containing the complete script and nothing else.

[User]
## Task

Complete the following Blender task:

<task>

A classical head bust in the Greco-Roman tradition — the kind of plaster cast after the antique that sits in every drawing atelier — presented alone on a pedestal under studio light. This is a pure sculpting test: no costume, no scene, no story to hide behind. The face is the whole assignment.

The head. An idealized classical head in the manner of the great antique casts (a David, an Apollo, a Doryphoros — the specific reference is free, the idiom is not): calm, symmetric, youthful-heroic features with the canonical structure that atelier casts exist to teach. The planes of the face must be right — brow ridge stepping to the nose, clear cheekbone structure, the philtrum and the strong classical mouth, eyes with sculpted (not textured) iris-and-pupil suggestion or the blank antique eye — choose one convention and hold it. Hair in sculpted classical curls or waves with real clumped mass, not a smooth cap and not noise. The head sits on a neck cut off in the traditional bust termination — a clean geometric truncation into a small integral socle, or shoulders ending in the classic broken-edge cut.

Anatomy is judged mercilessly here. A slightly stylized but structurally correct head beats an uncanny near-likeness. Asymmetry from sculpting is human and fine; collapsed eye sockets, pasted-on ears, or a rubber jawline are not.

Material — plaster or marble, committed. Either: matte white atelier plaster with the subtlest subsurface scattering, faint seam lines from the casting mold, small chips at the socle edge, and a whisper of dust-grey in the recesses; or white statuary marble with soft SSS depth and delicate grey veining that follows the form. Pick one and make it convincing at close range. No pure-white shadeless material — the render must prove the material has depth.

Pedestal & setting. A simple column pedestal or plinth, a neutral studio backdrop, nothing else. One soft key light placed to rake the facial planes the way a drawing instructor would set it — form shadow down one side of the nose and cheek, a clear terminator, gentle bounce fill so the shadow side keeps its planes. The classic atelier lighting is part of the brief.

Composition. Camera at the bust's eye level, three-quarter view, head filling most of the frame. The final image should look like a photograph from a cast collection catalogue.

</task>

[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 on two equally important published views: a 2D rendered presentation and an interactive 3D scene exported to GLB. Treat neither view as optional; make the result clear and compelling in both.

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 2D presentation 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. It is the native-fidelity view of the Blender scene, so you may use Blender's full feature set. 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.

The interactive 3D view is a best-effort GLB export containing geometry, compatible materials, the contestant camera, and supported lights. Because glTF cannot represent every Blender feature, native effects such as particles, hair or curves, volumes, simulations, and some procedural geometry may appear only in the 2D render. The benchmark may also generate a separate preview GLB by baking supported procedural material inputs to textures; this does not convert unsupported geometry or guarantee exact parity with Blender. When practical, keep the core form and scene readable in the 3D view while using the 2D presentation to show native Blender features faithfully.

## Harness Instructions

You are writing a single Python script for Blender 5.1 using the bpy API. The scene starts empty. Your script must build everything the user's prompt asks for.

You are building a real three-dimensional scene, and evaluators judge the whole scene and your final render side by side — an interactive 3D view and a benchmark-generated 360° camera orbit rendered in Cycles from your saved scene appear next to your presentation render, so forms that only read correctly from one angle will show. Build genuine 3D first, then present it well: before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — a good scene that happens to have a well-placed camera and lights. 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. Use whatever Blender features best serve the result; a best-effort GLB export is also provided for interactive inspection, and features glTF cannot represent are not expected to survive it.

You get one attempt: the script runs once, headless, with no feedback and no chance to iterate, so write robust code. Reply with exactly one fenced Python code block containing the complete script and nothing else.

[User]
## Task

Complete the following Blender task:

<task>

A classical head bust in the Greco-Roman tradition — the kind of plaster cast after the antique that sits in every drawing atelier — presented alone on a pedestal under studio light. This is a pure sculpting test: no costume, no scene, no story to hide behind. The face is the whole assignment.

The head. An idealized classical head in the manner of the great antique casts (a David, an Apollo, a Doryphoros — the specific reference is free, the idiom is not): calm, symmetric, youthful-heroic features with the canonical structure that atelier casts exist to teach. The planes of the face must be right — brow ridge stepping to the nose, clear cheekbone structure, the philtrum and the strong classical mouth, eyes with sculpted (not textured) iris-and-pupil suggestion or the blank antique eye — choose one convention and hold it. Hair in sculpted classical curls or waves with real clumped mass, not a smooth cap and not noise. The head sits on a neck cut off in the traditional bust termination — a clean geometric truncation into a small integral socle, or shoulders ending in the classic broken-edge cut.

Anatomy is judged mercilessly here. A slightly stylized but structurally correct head beats an uncanny near-likeness. Asymmetry from sculpting is human and fine; collapsed eye sockets, pasted-on ears, or a rubber jawline are not.

Material — plaster or marble, committed. Either: matte white atelier plaster with the subtlest subsurface scattering, faint seam lines from the casting mold, small chips at the socle edge, and a whisper of dust-grey in the recesses; or white statuary marble with soft SSS depth and delicate grey veining that follows the form. Pick one and make it convincing at close range. No pure-white shadeless material — the render must prove the material has depth.

Pedestal & setting. A simple column pedestal or plinth, a neutral studio backdrop, nothing else. One soft key light placed to rake the facial planes the way a drawing instructor would set it — form shadow down one side of the nose and cheek, a clear terminator, gentle bounce fill so the shadow side keeps its planes. The classic atelier lighting is part of the brief.

Composition. Camera at the bust's eye level, three-quarter view, head filling most of the frame. The final image should look like a photograph from a cast collection catalogue.

</task>

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

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1788700982-iPfKj0LuxkZyTULz0BeG","object":"chat.completion.chunk","created":1788700982,"model":"openai/gpt-6-astra","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqnWlrlsHhp3u1x5Z_ygULaoC7AG4EJ48bASgyNhF_LYx13hgc1opkP9cMxy2lcb0Oxfsis7NRPUdn7TnHtBdR7fqpZy5UnhrdjoUbFO5GUqXvtaKD0JJ3_zBXpPKQUn5ohInoCuohhsoDLsy6IzkDyZD7QSV4goXzXBiy4CKl3VTf97ZMHRpD7gp3muOUAkTD2KQEmECqzkFIqKx0EzmZQJX_5Eg2GODXU8E3rLs0VvFPXZh0NEnw5L94F-afXzr_POFl4nsPSsNf8Rjs39rBAcx81FKl41TrLZU00J6vw5MPBg4f7t9ud4gBSLNH6UkXwG3W_VrtuOC_6oOYbIk2MEYfFOt73WJQt18Kjy3uOw_747dj6H4O-TUnWCwCbWMeebUY4ugPsv8TJ_gt0AAVXEbScTylQq14la4Nv2h72JZxUgkJ45J7aGPCa8P80ZQPby1qLVnbrPcQXx1aPDZS7YQuzqAx118KXVz4uExRCVaipraz4jM26RYtK1li3WZfrosSE64iel_fdHmlIoPAMLP4sLIYXulyebO3hnqL5QVeN8gK-elEYq_nKeXH5Fh8Ukp0fnblyRHhky10Vz1bHVPMXVyn0baqUqQEpxTH6103Gm2WEi5lSsDg-vG_3FGnz6W6nzIbIWa2CIKdNbvmtrT2_8XkRzEFE8ParUoHdw1JYPUgREIqlmqKp95OinxzOPlfUJRzsG68zqqtnYP2JEZQEsAZBT0xSsAA0Z-q9XezbRWbl9Dnpn020Ax6MQXZ1s-jMrMbcdRBQNujX9CNDEMRLCSgnR9rG2FXmCqKI5GVhrOnanEP_nuGzpUGQVBDEYHTUF7U4q87xSCu3Jb2XUPtN7AKGObtXY0MGNVcaSSyef180QsLm0BEe1cqyCfJJvpNyXjO8kttHlfTbSOCKuN_VSofbnQVPB5Q8NLP_WBmOQ-vS5BaNtotFb_CFy_YU6mR-Syk7audvXXgiBJAh-R31-PTkO8i26J2elzzsKyVXVWEEnMLX7I7OKdadmOtFS2d0EEBjn68sdND9YLTGuLOd9L2ULDwOqMWTyudXMRE3MCwmJ0pz2wSpqa_3ymWCDdO5Ymhkiu0q1zFIP-hd4r0PoFRnCBRSmEVXs7qEhVeoVPrIGhrDAISNHKl4PceK00KfXtowZ4kU6W3K7Dfx2Gi7d4ch9ilU8bm57YhJOYXuTk0-UMJ4XkrhexO3W26IwjXvCFTsSmGXMrdQmJFNQZPJoR119AIWJ9EaVvyu27RJSqu5taeKXP1cEXphfOaWp0Vfhdvei4sSkaMmznJZ7CVlho4AGNT5vCojkw0CcWaD4YlN7z6e1OtDw2FvKTrCFxF6tTyCGRkG4hoEfb8sEnEXMCrphloDQMC3BlDbUburirdKkHgJaDDeCuoLbamcz0-J9DS0VT34IE3L0VJkX2FcSzaNzvexHoEq-GTFWa36ib1pAd1whfRX6jV-VQmV7VWFwwNOpbuaaxRMdWpB1whCUQW9zwg5C5ycsQsDFIaMwjtTg2inDIjvQlMK3Do4s52ouXQaCbQcR15tuBuCJvtduEe2h2XJxkN88Q5c819k1Nc1oCf0hZKjIfpw7YyIezg1ikMOI41ONNNOBk-zLvrbFlQzjPqu1A4Y_4CxK2cP83LOg2BvJwcs4lwyXXSBNBrb1SHb8An6lU9LKbiqXjlFZkJD-VB0G9cRksgdm3WiFXcnzWel_ePTuIHn6ABHpHP4v8IUBMubmPcog8XI8JdTul2XEYW101i8ePV3_oD64Rtf1RTt3BraQiFZWjHqeHAujum6Py-neBMhg6hqI_lXk3J01nmpTPy6oZe9JOZEo_7kxJfUDBzmscH1mQgOxolXI54q7IQHwpa1gKSDcNYTrYFxA1MaUMSPY8kTmEj8yLpL0qIztyvhUb7nrmZgHIrnsjfYFBim2BiobOFKuLDH0omF7NHI-4vYkafV8NxYSb2UzKLlFCyDj5bMYw_FwpaoBi0POYfsRmTuTB8mqC-LBqQYs9l3yvTczV8qUXlLhmlX7PQALV7BR3jT7x0dGQOMbPCamM28HbEW8ZNEdlONalNqtktFWMdsVvwmHTx4pG69DFgxE1-JYm1snJDnR9MhLGFPgEhiBUDsX76TuUmKZrawF6J2_pSsDVOXPsGtW8rTACD_wNAmjpzmSbC09f-3pAxs7773Nai7bicPNPLDva38b2XU4R7q95QQsgf3fX02Z-gCuBurFhy7dESkRyllwBcFAtOuvYt-ejdKlXR0kS_zEeGyH6eC5i4fcoxxOjYkOdfF2hQhpBEdDKbgpKea8YeeHqe0Sm9mvjhGFaR9qAgGiWRbV0rVxLdsiENbzfqvozermiX4UseBw6SpvekXVIeI0rrB-FzKcdeaybjDYoh-QXnaVccdqqHLVI131yRCZUnFg_b1cgThjrwZfu_luG1OVmx1a5h428Zmh8yALopo9ZpC5CRw0UY7yJX4-VVlk3cjPM_-iwLjVhsnQE6Olx4AG0QPI0QhiGnTN3ORT7GLGd2h0iYrH6oV10DG2Jc_VJ0M0flWCiG3INNrqctZCOd_dwJHm3mdMnyRzrt60myBiguN4WuZFjTZIcrOEevpzEZW3JS_BAJzAZ6s0Nzm0s4wAfSSCXYPezLA3Epume8P-_4wwPHW3lkP0pLe8YbFsioHESY31r9uZzZ3uFDA6wlMeR4JB9qpRK2bpK_pUWWswgkBcFf2LBIbtNXbryqtjCmEq1R-wBUoZwIKm83V8C-wmBfoVcO7Clj3nVCBtcQEApEwm-OuGTVk4LhA2-rtCjvFOsjOxAp1sIK9lPfVhWovbnI2Xc7VxbAnAHslGYGehvPCe_sHK4XjBVhfbd6f5VuYz9qAzX8Tcuz63CR9RjOr-eGMZCLFIDouh4UfZ7vxPS0DDkgo5ELNmHaXSq1mz5RRqW04Z90mcfBq8kjKKPSOA-6xboh0pqzX_kx5blxqkn1n79xIBm1d9K1twaKfi11HKA1hgyu1l3o-oA4DLCOTakCSBxiIZOW4NVrXkWD_nrEi65RowHAtuWI4gCvSqIUppkqlPOSxWpoawDjxg5zJycyjw1ke7_bhwBGQS96rFCJWmlmnDag14pjFayoDele1pft0aBc48OlpvAaUPrWW6mKf4t5-tz8sDQEKZOUYYNfcWvCV9m2TwYzeX6ASmvBbowB8e2hxf-mjKfy39XWm2Y4ni7M_3g4WhPBPlMRQoyUw0gvzGdgwR8mg9qtS30pHgDu8mC3eEm2ODyOF0wVQIHeORQD3zpiRVmtcgH5mmQUxiHwZ2CmrhtWjFfPneCcQAh-_ABgpJyvSbD7g3BSr4yY7mLvytw0ohXy9i9Cc8SDD3DgEBRYzANFL-MUKxFht0s3oDX-MHbtcbLrCX3Eqg2mzHCpAa1tHwW-tG9Rzv_bkvfy4fl9PcSb8_D6M_4MsW-fjqTiOF28b6nDyNnwcXO2gnksYAho8QbjkfATknMwIUlHZHw7CTC_t4r6oLUkdH6YJ5vxiSzO30YXQvuUQzy1WBBW6XtSbT4MABQY9USrD8Hh89vhJiP3ey-yHH7J8Dt3JDdnRbCqh2x41htJGrop8kfonkY8uKGQXE1HpwWBKi4UJrWgJQ8BHgmhthWcPPrZSzeFlsixmNe2P96gLZUZQ7ZOwvLh4ujo-2lsi9M6KcPXPy5m_25HSDAvmdD5mmPT40DGAR9hSTLnHsa4lP9o0BFJOxboo-7LypX0I7bmLLUSFFd4djvKsfRFGatbCK7VPgqg8MEFwtrQ.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC02LWFzdHJhLTIwMjYwOTAzfG9wZW5haSJ9","format":"openai-responses-v1","id":"rs_05a0232fdbef0a0e016a9d695e91d887d1ae3128d8d42389f1","index":3}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1788700982-iPfKj0LuxkZyTULz0BeG","object":"chat.completion.chunk","created":1788700982,"model":"openai/gpt-6-astra","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqnWmGVPwO_qM5e5XyfRE1lfyCTeX7cc0XMTWDLhaFPUl8ol6lgUF3OC1j96na-hWI0AeCkA8hHFkKqXnqBOx10deVr5SEwmDpoCIxl6mXgDkxEt-U6YYPmoDQG7GLlDiq-6NCGbP-dB3HSZyR4cwCWN4yym63gyRoxYPknwfVVXXrODHHOKT_WoiAOdD4GVb8ktAkB1toFnJJ-Z3f8PyrSeRfw2NSaxJ6OMTaRnJ6dzCzS_gg63gcqqWHJsCDPQ23qaj0EiTepZ_dTUiLa4sBmh7ktxjWCEMNWajvKE-WyVVqaagmczZzqIteJLgy0t1lM3fpBR-KPTcVr8zXJ3v4z325aMkzRn-wbbsYgmrVtoxnEHx-7QceRbjshQsl28U926K4CLkwqX_rSy6ImRDBZ-laYqyh4ZTa-p5bj0GWQMul7jDFPAe5vagLPUelNGkZKUYMWVYRCDjz947zgwbJ_7a9W0WLeR0YoEQ2cgpJGRQnIoWdnzeok3nntBUwyOpPLeRdMrnt1MY3QBViG5CGfBMbfoGr5QwDHpx9C0yDTpW7AIAIhZyPj4Umn4k1gE1-l-RsbN-cmqrxafS6HDtjMn2rHrVJGnuqWJXnynn5JVqt-ypQFOZee9q7iUwcqMVVLhmflYHNbUWXqSE1xkWY2ALIBxw8frbD9uqK33jr9eEEgNfBj8cp48Dos5qiDOEjbksgGikNd3QnkFmw20IcwDdJA0HKu9VxRp-wu2wS7IsI_tCHbjMcn020KXWLqONh7UCn-8pHY6JrfWDSGVK-rurTfEviyJMDNON6L6aWHUl1uwCnjWPYDRdbliyeNQM2lcct_7ZGhpK9m-GMtKmpqMQk052DlUf76B97kgIXrhJxch5EnVA2jP8PSqtw4JsnlcSmJUIxjr7Plnelp84XNOn2R8GG7IuemEaZabb5it5YqoBF0OkXwCIuIrekUV1Sopb-iKPRbmZkAbAAQYANW2jaCbQwfczrphet1LdQ8iGwthBMohlsj7CvYZJNDlyVoyJXI8JuYlDbvUZxoN-n9UZTapVp5G9GL33XRubg03bDHd6ldeaJnT9DdG7SOHlT5yW2uGSJpRdoUVyo7tvpPGh0GBU2dDPw3CCwF4gSgn-zs8I0etlKgWuBhZb7nJ4t5_6Jkz9yS4RiO2CGRpvAOLx8EIfdBqGe1JrjUBMBXD3acCYHPpVfOzM6HOk2XEWOD85is1W3QTwk1C8H-P0YY3Nz4lwIONMQZBWf3MFyWF0WKq-YcgujEWeAOpKkBPDffgla-vLjTE-v4SjKedWB5ezL0Vz19VKAiyEw_OkQQpCksRvalJLD9Xkb3TEy2o2t3_-8E0HR-iPdc4OUIv95cKwXb6swhklp1LtCDyI6iPYpCiFScIPe673vDqtg-3gClnwX3aUpHsKHANWNwTB-LX7lB3Y2Sdr_iAooNoRok-A7Dn5ucg9Dj4hxSTmhElmeeLUbCbJTTl39NPnvX5K0vI8l7dG1o2PGkR-nlcfNGDfbvH7IfcDan1N4MHFNr3YjIYQAnSSIL3bsjdSd5qGRdIYPXO0q08kBZ92_jDBwMCsFnP2LskPyOoxrsqHHtBHre0sWT99wcONT5QZ1HeIEnzb-uS76xQIYQSn7BH81VoWm0VgcC25ozC0fk4g_3P4xjwOEvthaVrGm2wnd8190EkWmOBC-1l9ETJv2UIEMTUiq_I9oIC0xDGAYaq9gyTBkf4VinISmxPVMQAipSVQC_3S2ZK0N1wu8zXa-lSiXSeZobhXMBh1b0JJSxc9BaxILU7hLhc5DG9Dxn7WzTTF9jSbRQpJ2rnyxoqSBfIbDufwhbR-PEFaiZQflGq981XSkGHlRSwC_X9l1AYse9c9goJkg73ZSy3SEDJ7Kuz2w7yZFaUcxqSP5Xw99NJH--JERwNYRyk5o7ji9KVAhGrnLcTVbLXwyED-wlLczmuyf2t9c5AAsrxWDXMjInyGK51r9EQjVyGoR7GXnfIrSoaAESdxZKKeaHOdRrzGTzMUs6fRehGdNf6LIUUjhvDJH93tMai1axCNIthAFq3Zt9ycgQ1cINEi5HWpwo0RRo-Pz3yhqRBtRKzJ5FRzGFpj0ldSS9yil8FOFqJVpgZohUtzWb-_XF1l057NvVaGt8vGN775VVxB_HxY_2rXy_GZctBw3C0vygkyzrcjBrdoH4Ww-HLzGa9PZ-wc7Bg-4mFna7UT1XhD4Bp_3s2jbT9RoyU-p8kh93W4CYu7cGK5cF421TkPX0pjwG3TFQZkcKU0zLFQTf376FVLOAiGmHncCJWBennBpXGetsBTolNtvM-M1x6trcUUOvfzXs0PF1ZxiWycz4JU_4GdehQC5ZcFSjJLy4pFA4n0CvtyDmSSy5pD0bLhr8nLXwil3_kyRIjn7vW0xgFset1R-unpunZZEvV4OMylphIj-UNm4cpS4-PfmqvaaA2xLMxvWMoJHiFeQUBqJpJDmAYEJA5y6VI9O1Yaixf8i_4jwJ-XtHTH2M0tlOOYxnrtYq_BBbZdPIPVQvza0pFot-sAzNlu_GUD4FKLUedWAnO24wHgUiVJ_2iMMvEnaITiLqNhmzAr8faanLR49oGs6uyPGss215wPhCJ4-C_zoWYCUOyYwoUoIbC2_Xef-cUTKEYjBUGX8kWqHe87YlZEeSYUX0LZLhDqCcBW_-SA2B9lI_hT9axGURVT6HuIC1jE8Vb0DWozzn8CUEuZWRxV3su_pGGp2j8CGXfOJaMN5bUEgCcY19rULiDV72G_6Ty5TkqVVhfK_o3DkKoFc420yl1wcMecEBZRB0QYnQdeDyiCWngvJbzDtnCFOoyxBPiXH3kE_SJsxIrCws9cTDc7ahBCdZHEiJV3EqkHCViQQHYeYYOydRBuC8eIjc6ciQfkFXk3yYb8TsUlcBixu1agyuCD8YAZ-erq2v-itFP7vbtjGoc_mfEuooN0ibaUUUG3tAQNjGnSMawSBZCM0mX-0PpJKLsIUopnJrnNsVakY1WWLvY-3eH7q1qNJGEt0z_G_CGMNz3FbbJA7TxLUGBPeD_hwoqBkBdPiHFSufdCabC4_JbAI1m6DubMr15Uze59_evXTQ6r6wmQciYGnI-2SpZRJ7o0HYaS2qGLb02Fy1v9s6vOBuEy0ynJTxm-OgdiprXKm2g5dDtwzy37CziG_LblhN0BvPHw248W451CYBB0_B_i72eHNmswQMO6m-zK15mDOK68ozgHDQj4sFoVCnL8FYMP9RHSXaxvDSA23tXjkkrOU7oGh2QIPf9QBjWCCSQMOIJHUAcQAlZ7CGDfwfGjJ1qw68ovWF0mfGuZVlmc0szAcH4V_QrIm6viM1shZCI8eI-V19gZMIJe33jgmJXGvjUeeIhH-de3Fhx1m1PEwDasYnoDOycGnspTChPjKGdcZgQn3gSUmECb38mrObe37t-1NDGVQlhL0R0FcQiB0GvvtN0xynBJwFt6QUqTAb8ufA1tetDKO5HVVs3tcml0XkMScvu3zKQ7vCWWka0TLtD60dfLjmoPElrVgO6cYT7HLbGP1ZRO0rAxXoKjowefWwoR0RrRDZrAc-2mx1dRZTA-lwKvsZdz7jhliTzrOHbaNLOY3BRotdjwqJQodarVzHAK_2pnHlF_ZtWCemQuDx9krEXbn9chU3bxTJFFPCc4kUfaWQ0m8VnoyFs9wxBLLD7VWHn8dmarB4rRrQowEC8G3UirQK5khyqrDWlp1cI0r3RSFfcbhw4IAWlmeG6hzctiCOTkHJSNAfcv5qNQ-DDw2Rpmye8AVy3fIleMFJVEsd6-D6YV8Q46O0zGBHNHwpXTHbU5JOQdHZg2xJkdZrolzDqtlA5pOfOmrfTgdg06uBfSOC05lyUxrCkZYiUv7jHMsL1SWPFqswy-_MjPurfWP7resRFmOAlxmw-vK1Xs0qTtOnde8qgELDuDSlQMpRlcd23i9nv7I7UKXWTi3H54LYCRZ7LqSKjXZ6ZaS9zMmFGsqk9ON96UG8GvcxAfWxKSpCNMo2DHVEF3nYjqG2rxirP29hI2cO7Qf-tMgv-2OBIaZtJO4MmEcgYrg40w20X9s63JdNM1UEOwa8tNuJe-Sza_QxFQt5MqkCThGaDa5ieH4G-Xmuhu3ruNw3dJDDNBpDudC-w8bmFDa.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC02LWFzdHJhLTIwMjYwOTAzfG9wZW5haSJ9","format":"openai-responses-v1","id":"rs_05a0232fdbef0a0e016a9d6978c88487d18a54b812e8a99a72","index":5}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

data: {"id":"gen-1788700982-iPfKj0LuxkZyTULz0BeG","object":"chat.completion.chunk","created":1788700982,"model":"openai/gpt-6-astra","provider":"OpenAI","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null,"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqnWmeNU3rA6feIN-R-FbdHe1M21Z6hmtmWwihooN85zfzE5Clv0KsgfEyzmaQ8DD37ctj_SedQewL_F_OD2zNAX92QX50DEfa7SRBGeQsO6WXXVf-u6DQEymkeZQoJ9GfdNoJNyw1AMw_4plPZY3ZHXtT0luNNe_HWB776qUD08xGRmfEhM71_tR4FHU2UPao4YAQGRB8IgivCgLA9Dv0FqLsY34X2rITVLj-LBSQ-9VJoGENWCLxASKTV4dtNnuiYX4YRmxSFQYvM6SR3MxWujRNaIZzLPHD2Muy-IvKb96nmDDf2N8P-rqYdZx6XLDW1Nkz2QcYWGh50KjOtkR_20SlMhWCUuyrK__uDbTBYsvdqCt6W6yz-kavYi3awjG4dMTGzJxLCd8c70l1gY0Q1BVinTJDtno7rhTQ9KQZp8FwN5dS4IBc2AmMsIE_ZaDnfi3plmpaDSWrSk2hIxzlYhHKsWQVvEXVzrq5qltDUEdVoayMA9VUJhjNZffHSUWf9XCRKy2Xp7rMHVbJ3YQtf7OJfpz1Hc1SJLI7eHkH76RcR7mpZHDQ8U4YqE7IZec9Sbxj9ODrR6GAMRzhNog6u1k91rXfprCv33YWfBQzr09vwMne2Wmr7ukIuY-8fbUQl0i9BjKAKNHLvvABRhemFsPJniSfLBmdWngk-VJkD4fbLNjsvLZRSVKy1IL8PNXgkU9LiIjWwUrvRjdKkx799zoClj3Qi-pKMq8iNKpJtXtEAf0L_oWSzvW52ili_XgXglljJ2UWkIKedAoomgYv6sAgtHFlugIr7b1JMLo8_XcULNVZl5__IHQBRa_pHh8UxJ4yVHk5YUSWAao3pJwqSaoSphKD2O7fccqwIrXlAvPGlagNH1vY5O6wecBUZQjZkaOnpTNVq2PMc4Mn1iRL9N53b95kOgNPCzwsTURYYECZJd2RU6-F5y642bJdg6QD1C471SDbryUu3Bu6xiUrSytvEOQuCdnsdIg91-kvYMdcdyR3Lf8LNfCkRY5Ai-hL1GaCZW5KZwulaOwnrmKThipBIPZOmCa0VrNoTW5rtq05lAwQq2LVe8e7eHJUyY8C3Q7NpDoERIqDl0f6g6GPOfO-KcfTaOGq_QWmLp2uPhyA6f2UUBcQ5blxmbOycEmsEBnhlMobVxZpL0uX09hCMND76l9OqkhPJLlrV7Wt9ssCaJ2BbX6bYpeMyFxEMZJNUohp6FQpL_FWngrDWsd8m3_8ZP55oO6WPvs_xDssi42M_imgahU887NsW2ZGlskjIm2jktKfF8gwwfV2LAR2Jt9A8zw7ARpFYBvFOjVm7xsa2-H6Ow1sDS_YxlWCZmRv5qYvjgifR502tlB9YXvYhUFvLbo8LyTpKAUgOHJl3piNbt4iEFGRbhLQgzyQXI5m14WWFlzgBcbHlAUpurf3PbVyjethot5xoo6oAxKGvzdwK48czvrkOcbh-YrkhdeK4yJNy8exW8HNg32txUC_x3Z4cII_wdhTJfr8xzWY3x69Oo1tbtAGQRBnR_7xd4oSjGLukJOZfd9ybb6tGZ1D8bE3XmAkbGxTBpun4hqwBd7DTAP3LklNejyCjv5pDx2BkIvtQ0eE0WX_O_7cNpP26VZURvkECfA26wFm74tXJ4zVQGODTpYvpsK-vhVKItghIXAr8kj3JjGSY-CSyJFPE8kNj6UBe-tdRyPTVCGDvA9Cu4J945LwqAkxlA1o1DqPIRl4PUGpE4g4S1P-JaIpnngg6gSnpkIW_ixkR3g3Y5q5xoX1OwencM-f7zqm2ykrBy2OWHaGO3dkD4HuJ_rYKNTgp-cDHxvnrKsLKu3VLF4SzPOy3o8wWx23cjwq5vQLjhIOzRxmnVN-zmCxYAFFdT_mQrOwdjynA3vBORhjNWz3SlZw5dl30EXJGQBmL86BEqeWBDESwKFUhJhbOmTG9ihj5pAHeX1oPhmYdPYKrHzsVJd13Fg4sA-eiemmakZcyhCfyEYcBXAnvHj2mrQ6wn_qdCKgO1FIJ2i3B7QxL_sRzEDdR7rBUICwjAbnjN6nBATaVXH9Xabe0dntkm_rxlKxW1OB6kVn73tjcrmdWMUouvCtxuJAR2Hv5YMREjSLlp4jLFmRjRfEVmt4gDTE106Ye1krMkat6PvupfhKd1tL4jKSzeT2_KSYa0Cv3uJItxRmwG1ZzW2NM7y0Dcjlrk4WzK8S7g-wkhP2Lw2VJxtnFddYPjbF19s3BmN0bQQAZio2_BbV0G_Xm35pLK-0ZDLOu3j4DZSfD4Bzjzw6nFoEZi3TN5_QR6yJReQo1rVMTn00wFdPOB3jQbOxDLvnYzKXL32bJNvCctfCakIUSyMFb5I9exresd0rbqTNyVqBIbCCUiePKa9Dmg19z8bMzqV2pd-yexhQOaab79AtGLWfu7nOJpKfnCUzeoajth-aUnlEBgJnaoZ3n-wZpnkokZem3LVN5-67x_9Yn6KTioA9BaRQOe7ZFHyshg213pPMVHm_jY3y8eq5I8QU9ci2Z3MNvEpZy2-3zoTumITvhs-VPM9Di7oQH6CUwke-c2bJCDSUYaQHimSBDChov7cC2NDqCRIOXgD86f9j41MM2gVXP98LgEcEreY22ZZmWW2Dhm7G54yeC7XFej_GUU1D7j1eX0CoZntBfR4ZStPSowXz04nwwRa7YtloQTuU8jdukGh25vxewr24L4YxwD81RoQMS1uu99EMbhEvVi9kMY8vL320fiQisfAY2r338lLXhIUVNLKX0Ho-WQAoUgYdfG87ki33AXsbzhuB_TWXW0mCjpBkZhJryCvvumHml4ZyXZ7IXoQcaAfgLZNlYYbmen_00dBMwLSDQep_Vm8fARYrT5nrY1r23TeyAECI7EpFZrCmfJeFvkUoCoesi_h74pLkeHWm84zutsrWR-Es-fZ-5iTWOjffaD5xp9jwxZUmEhDJecBWlAZCwzFpO0S69D4-Af5UZ16KiSzf3DUF502TLsoAM40oHUkZHolrltp3qCpiJRutJnO9fY4Eice3pAp5mBHCdMlm2E6By_wDG8rtlOTDf5Q4gU7G5bnqJDFwfFpypGjWL6B4tBSggTyaCCJ32xQUbBAgyldZKqGahb9hjuZ8kgZBRUJng8N0DoUS3FS57y4sYxvqYVT7UAr4NoHwkIoyN97RCQH0DAkCUWv2dGWCW2eXVRjcJhLNgdCCYK2XqLCG-k3kIIINx3ETZyoPC6MQeYE_rFTrgqHyZDTnrRmpMigb53JpNWISHgdUXb89xG8RatncO714PxtHfluP9vTmYFEz7jWnQrqJpHkBPaChZBpopE6LKkHcVvG1PDeCP3_5W39qeiGGFhXGKicsKMCsUsQcEqZLPlyF6vFLcnT_-yXSaO-KFhyKGtvSVoyQucBLavTM72J_bYRu-9LUGEeYuewGfNL0GMO1vz5gy5CPrW9c2TK9Z6GgbwbZYM-Z2MXpdklfYgx3FKBgtn6TSzl9pt8XQpsvnYbqaKCjoKPfriWI64Q6U4YkU6B34wb3hStYjjLRkH8OalDb2D1CaquXsaog86mbsbp5RprHEchmfWze9U_LlKoi0o3OZWjqKMR31AVy7-vLD5M2NGvEIwPqPqt8BTZ-mOssCkMmS6OaJW0ckr2A3RHg7ol0RnGPzJutn3SHEjQfYLbyyRXXK4XjrRHWRR_51b3a_H4pdNJg25sJRCovnVvxz-kV2HscS3Zi1WgfpnZ-NiQDwk3Ttb8fxE3MQ-c5Z6pjXCpZOyPcrPjWvnjt8pWG_2OypHBn21XMJpDeedDZSDI9YT0e9t2W3oU5D7yU55U1qcUucihlRaNHBMi3uAxp1AZY21UDfsAJtst4sTlgOCMcpPGgMTxecAStrqBiRBmOxxZvthW2HzeQb8HEtZQ3x6fPWfrV.eyJlbmRwb2ludF9zbHVnIjoib3BlbmFpL2dwdC02LWFzdHJhLTIwMjYwOTAzfG9wZW5haSJ9","format":"openai-responses-v1","id":"rs_05a0232fdbef0a0e016a9d6992774c87d18d0e38f90083abee","index":7}]},"finish_reason":null,"native_finish_reason":null}]}

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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: OPENROUTER PROCESSING

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data: {"i

```python
import bpy
import math
import random
from mathutils import Vector

# A sculptural study in atelier plaster.  All of the visible anatomy and hair
# is geometry; the very fine plaster grain is the only bump-map detail.
random.seed(18)
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)

def material(name, color, roughness=0.7):
    m = bpy.data.materials.new(name)
    m.use_nodes = True
    p = m.node_tree.nodes.get("Principled BSDF")
    p.inputs['Base Color'].default_value = (*color, 1)
    p.inputs['Roughness'].default_value = roughness
    return m

plaster = material("Warm white • fine atelier casting plaster", (0.72, .695, .65), .76)
nt = plaster.node_tree
p = nt.nodes.get("Principled BSDF")
p.inputs["Subsurface Weight"].default_value = .045
p.inputs["Subsurface Radius"].default_value = (.55, .38, .23)
noise = nt.nodes.new("ShaderNodeTexNoise")
noise.inputs["Scale"].default_value = 115
noise.inputs["Detail"].default_value = 2.3
bump = nt.nodes.new("ShaderNodeBump")
bump.inputs["Strength"].default_value = .17
bump.inputs["Distance"].default_value = .009
nt.links.new(noise.outputs["Fac"], bump.inputs["Height"])
nt.links.new(bump.outputs["Normal"], p.inputs["Normal"])
grain = nt.nodes.new("ShaderNodeTexNoise")
grain.inputs["Scale"].default_value = 5.5
grain.inputs["Detail"].default_value = 3
ramp = nt.nodes.new("ShaderNodeValToRGB")
ramp.color_ramp.elements[0].position = .15
ramp.color_ramp.elements[0].color = (.62, .60, .56, 1)
ramp.color_ramp.elements[1].position = .85
ramp.color_ramp.elements[1].color = (.78, .755, .715, 1)
nt.links.new(grain.outputs["Fac"], ramp.inputs[0])
nt.links.new(ramp.outputs["Color"], p.inputs["Base Color"])

eye_mat = material("Blank antique eyes • polished plaster", (.735, .716, .676), .56)
eye_mat.node_tree.nodes.get("Principled BSDF").inputs["Subsurface Weight"].default_value = .035
recess = material("Plaster in deep apertures", (.245, .225, .195), .92)
seam_mat = material("Faint casting parting line", (.65, .625, .58), .83)
ped_mat = material("Pedestal • grey limestone", (.265, .256, .237), .82)
floor_mat = material("Neutral warm-grey studio", (.205, .20, .19), .88)

def mesh_obj(name, vertices, faces, mat=plaster, smooth=True):
    mesh = bpy.data.meshes.new(name)
    mesh.from_pydata(vertices, [], faces)
    mesh.update()
    ob = bpy.data.objects.new(name, mesh)
    bpy.context.collection.objects.link(ob)
    if mat:
        mesh.materials.append(mat)
    if smooth:
        for f in mesh.polygons:
            f.use_smooth = True
    return ob

def interp(z, pairs):
    if z <= pairs[0][0]:
        return pairs[0][1]
    if z >= pairs[-1][0]:
        return pairs[-1][1]
    for i in range(len(pairs)-1):
        a, b = pairs[i], pairs[i+1]
        if a[0] <= z <= b[0]:
            h = b[0]-a[0]
            t = (z-a[0])/h
            prev = pairs[max(0, i-1)]
            nex = pairs[min(len(pairs)-1, i+2)]
            m0 = (b[1]-prev[1])/(b[0]-prev[0])
            m1 = (nex[1]-a[1])/(nex[0]-a[0])
            return ((2*t**3-3*t*t+1)*a[1] +
                    (t**3-2*t*t+t)*h*m0 +
                    (-2*t**3+3*t*t)*b[1] +
                    (t**3-t*t)*h*m1)

def gauss(x, z, cx, cz, sx, sz):
    return math.exp(-((x-cx)/sx)**2-((z-cz)/sz)**2)

widths = [(4.79,.03),(4.85,.28),(4.94,.47),(5.08,.66),
          (5.26,.80),(5.48,.90),(5.73,1.00),(5.96,1.065),
          (6.18,1.055),(6.43,1.035),(6.67,1.025),(6.96,1.04),
          (7.19,1.01),(7.39,.89),(7.58,.62),(7.73,.05)]
depths = [(4.79,.33),(4.85,.54),(4.99,.77),(5.20,.84),
          (5.45,.90),(5.72,.95),(5.96,1.015),(6.2,1.035),
          (6.44,1.01),(6.68,.995),(6.98,.94),
          (7.22,.82),(7.42,.62),(7.6,.36),(7.73,.03)]
backs = [(4.79,.38),(5.05,.64),(5.35,.88),(5.7,1.02),
         (6.1,1.10),(6.55,1.15),(6.95,1.13),(7.25,.98),
         (7.48,.73),(7.65,.38),(7.73,.03)]
nose_projection = [(5.59,0),(5.64,.045),(5.69,.21),(5.75,.44),
                   (5.82,.545),(5.91,.51),(6.10,.375),
                   (6.30,.23),(6.47,.12),(6.62,.015),(6.72,0)]
nose_width = [(5.59,.12),(5.69,.16),(5.80,.205),(5.90,.18),
              (6.10,.145),(6.35,.13),(6.6,.15),(6.72,.16)]

def face_y(x, z):
    w = max(.035, interp(z, widths))
    c = math.sqrt(max(0, 1-(min(.99999, abs(x)/w))**2))
    y = -interp(z, depths)*c**.64
    d = 0.
    # Supraorbital rims, frontal eminences and glabella.
    for s in [-1, 1]:
        d -= .130*gauss(x,z,s*.45,6.435,.34,.115)
        d -= .043*gauss(x,z,s*.44,6.82,.43,.28)
        d += .137*gauss(x,z,s*.47,6.225,.29,.175)
        # Zygomatic plane, lower orbital ledge, and buccal hollow.
        d -= .122*gauss(x,z,s*.735,5.995,.255,.18)
        d -= .040*gauss(x,z,s*.48,6.065,.30,.10)
        d += .048*gauss(x,z,s*.73,5.59,.21,.235)
        d -= .026*gauss(x,z,s*.71,5.24,.19,.18)
    d -= .075*gauss(x,z,0,6.43,.17,.21)
    d -= .049*gauss(x,z,0,5.44,.51,.24)
    d -= .075*gauss(x,z,0,5.015,.38,.135)
    d += .031*gauss(x,z,0,5.155,.30,.052)
    # The straight bridge is part of the head surface, not an attached cone.
    if 5.59 < z < 6.72:
        nw = interp(z, nose_width)
        d -= interp(z, nose_projection)*math.exp(-(abs(x)/nw)**2.35)
    for s in [-1,1]:
        d -= .136*gauss(x,z,s*.225,5.759,.107,.079)
        d += .044*gauss(x,z,s*.209,5.694,.073,.028)
        d += .022*gauss(x,z,s*.335,5.742,.031,.076)
        # Philtral pillars.
        d -= .027*gauss(x,z,s*.068,5.527,.031,.103)
        if 5.30 < z < 5.73:
            crease_x = s*(.32+.27*(5.73-z))
            d += .013*gauss(x,z,crease_x,5.52,.036,.22)
    d += .012*gauss(x,z,0,5.535,.035,.087)
    return y+d*c**.45

# Continuous closed craniofacial volume.
verts, faces = [], []
NZ, NA = 270, 256
for j in range(NZ+1):
    z = 4.79+(7.73-4.79)*j/NZ
    w = max(.018, interp(z, widths))
    for i in range(NA):
        a = 2*math.pi*i/NA
        x = w*math.sin(a)
        c = math.cos(a)
        y = face_y(x,z) if c >= 0 else -interp(z,backs)*c
        verts.append((x,y,z))
for j in range(NZ):
    for i in range(NA):
        a=j*NA+i
        b=j*NA+(i+1)%NA
        faces.append((a,b,b+NA,a+NA))
faces.append(tuple(reversed(range(NA))))
faces.append(tuple(NZ*NA+i for i in range(NA)))
head = mesh_obj("01 • continuous craniofacial sculpture", verts, faces)

# A shoulder bust with an architectural flat termination, and a neck
# with broad integrated sternomastoid and collarbone relief.
neck_w = [(3.06,1.36),(3.18,1.57),(3.38,1.71),(3.56,1.62),
          (3.76,1.30),(3.96,.89),(4.16,.62),(4.43,.555),
          (4.78,.59),(5.08,.66),(5.39,.72)]
neck_d = [(3.06,.65),(3.25,.73),(3.48,.75),(3.72,.66),
          (3.96,.56),(4.23,.49),(4.57,.49),(4.9,.56),(5.39,.64)]
v, f = [], []
NN, NC = 142, 160
for j in range(NN+1):
    z=3.06+(5.39-3.06)*j/NN
    w=interp(z,neck_w)
    dep=interp(z,neck_d)
    for i in range(NC):
        a=2*math.pi*i/NC
        x=w*math.sin(a)
        y=.20-dep*math.cos(a)
        if math.cos(a)>0:
            d=0
            for s in [-1,1]:
                line=s*(.24+.34*(z-3.78))
                d-=.076*math.exp(-((x-line)/.105)**2)*math.exp(-((z-4.5)/.83)**4)
                clav_z=3.57+.15*math.sin(min(1,abs(x)/1.3)*math.pi*.88)
                d-=.055*gauss(x,z,s*.72,clav_z,.62,.055)
            d-=.026*gauss(x,z,0,4.41,.15,.18)
            d+=.052*gauss(x,z,0,3.79,.20,.135)
            y+=d*math.cos(a)**.5
        v.append((x,y,z))
for j in range(NN):
    for i in range(NC):
        a=j*NC+i;b=j*NC+(i+1)%NC
        f.append((a,b,b+NC,a+NC))
f.append(tuple(reversed(range(NC))))
f.append(tuple(NN*NC+i for i in range(NC)))
neck=mesh_obj("02 • neck, clavicles and cut shoulders",v,f)

# Join the two large volumes into a single actual sculpt.
bpy.ops.object.select_all(action='DESELECT')
head.select_set(True)
neck.select_set(True)
bpy.context.view_layer.objects.active=head
bpy.ops.object.join()
rm=head.modifiers.new("Unified plaster volume","REMESH")
rm.mode='VOXEL'
rm.voxel_size=.019
rm.use_smooth_shade=True
bpy.ops.object.modifier_apply(modifier=rm.name)
sm=head.modifiers.new("Gentle sculpt finishing","SMOOTH")
sm.factor=.23
sm.iterations=3
bpy.ops.object.modifier_apply(modifier=sm.name)

def tube(name, points, radii, mat=plaster, sides=10):
    pts=[Vector(p) for p in points]
    vs, fs=[],[]
    old_b=None
    for i,pt in enumerate(pts):
        tangent=(pts[min(i+1,len(pts)-1)]-pts[max(i-1,0)]).normalized()
        ref=Vector((0,1,0))
        if abs(tangent.dot(ref))>.92:
            ref=Vector((1,0,0))
        b=tangent.cross(ref).normalized()
        if old_b is not None and b.dot(old_b)<0:
            b=-b
        n=tangent.cross(b).normalized()
        old_b=b
        r=radii[i] if isinstance(radii,(list,tuple)) else radii
        for k in range(sides):
            a=2*math.pi*k/sides
            vs.append(tuple(pt+r*(math.cos(a)*b+math.sin(a)*n)))
    for i in range(len(pts)-1):
        for k in range(sides):
            a=i*sides+k;b=i*sides+(k+1)%sides
            fs.append((a,b,b+sides,a+sides))
    fs.append(tuple(reversed(range(sides))))
    fs.append(tuple((len(pts)-1)*sides+k for k in range(sides)))
    return mesh_obj(name,vs,fs,mat)

# Eyelids bound almond-shaped blank eyeballs, with broad upper lid surfaces
# and incised folds returning into the orbital plane.
for side in [-1,1]:
    def eye_coords(t):
        x=side*(.183+.600*t)
        z=6.207+.020*t
        arch=math.sin(math.pi*t)**.80
        zu=z+.113*arch
        zl=z-.079*arch
        yin=face_y(side*.183,6.207)-.016
        yout=face_y(side*.783,6.227)-.012
        ym=yin*(1-t)+yout*t-.088*math.sin(math.pi*t)**.8
        return x,zu,zl,ym
    vs,fs=[],[]
    nt_, nv=68,20
    for i in range(nt_+1):
        t=i/nt_
        x,zu,zl,ym=eye_coords(t)
        for j in range(nv+1):
            q=j/nv
            z=zl+(zu-zl)*q
            y=ym-.041*math.sin(math.pi*q)*math.sin(math.pi*t)
            vs.append((x,y,z))
    for i in range(nt_):
        for j in range(nv):
            a=i*(nv+1)+j
            fs.append((a,a+1,a+nv+2,a+nv+1))
    mesh_obj(("Left" if side<0 else "Right")+" blank carved eye",vs,fs,eye_mat)

    for upper in [True,False]:
        vs,fs=[],[]
        NU,NB=68,15
        edge_points=[]
        edge_r=[]
        for i in range(NU+1):
            t=i/NU
            x,zu,zl,ym=eye_coords(t)
            zi=zu if upper else zl
            edge_points.append((x,ym-.007,zi))
            edge_r.append((.017 if upper else .012)*math.sin(math.pi*t)**.38+.003)
            for j in range(NB+1):
                s=j/NB
                xx=x+side*(t-.5)*.095*s
                ext=(.119 if upper else .126)*math.sin(math.pi*t)**.42+.014
                zz=zi+(ext*s if upper else -ext*s)
                outer_y=face_y(xx,zz)-.003
                yy=(1-s)*ym+s*outer_y
                yy-=.028*math.sin(math.pi*s)*math.sin(math.pi*t)**.5
                if upper:
                    yy+=.022*math.exp(-((s-.81)/.10)**2)*math.sin(math.pi*t)
                vs.append((xx,yy,zz))
        for i in range(NU):
            for j in range(NB):
                a=i*(NB+1)+j
                fs.append((a,a+1,a+NB+2,a+NB+1))
        mesh_obj(("Upper" if upper else "Lower")+" sculpted lid "+str(side),vs,fs)
        tube("Soft palpebral edge",edge_points,edge_r,sides=10)

# A narrow recessed nostril opening, not a painted nose.
for side in [-1,1]:
    vs=[]
    cx=side*.210
    cz=5.696
    vs.append((cx,face_y(cx,cz)-.003,cz))
    count=48
    for i in range(count):
        a=2*math.pi*i/count
        x=cx+.069*math.cos(a)
        z=cz+.022*math.sin(a)+side*.075*(x-cx)
        vs.append((x,face_y(x,z)-.006,z))
    fs=[(0,1+i,1+(i+1)%count) for i in range(count)]
    mesh_obj("Recessed nostril "+str(side),vs,fs,recess)
    points=[]
    for i in range(33):
        a=.04+math.pi*.95*i/32
        x=cx+.077*math.cos(a)
        z=cz+.031*math.sin(a)+side*.075*(x-cx)
        points.append((x,face_y(x,z)-.010,z))
    tube("Alar edge "+str(side),points,[.005+.009*math.sin(math.pi*i/32) for i in range(33)],sides=8)

# Strong but quiet classical lips: one continuous bowed upper vermilion,
# a fuller lower plane, and a small shadow slit.
def mouth_z(a):
    return 5.324-.020*abs(a)**1.6+.007*math.exp(-((abs(a)-.30)/.19)**2)

for upper in [True,False]:
    vs,fs=[],[]
    NX,NV=110,22
    for i in range(NX+1):
        a=-1+2*i/NX
        x=.414*a
        weight=max(0,1-a*a)**.65
        line=mouth_z(a)
        if upper:
            height=(.077+.032*math.exp(-((abs(a)-.28)/.18)**2)
                    -.012*math.exp(-(a/.13)**2))*weight
        else:
            height=.111*max(0,1-a*a)**.78
        for j in range(NV+1):
            t=j/NV
            zi=line+(height*t+.004*weight if upper else -height*t-.005*weight)
            base=face_y(x,zi)
            relief=weight*(.046*(1-t)+(.056 if upper else .080)*math.sin(math.pi*t))
            y=base-relief-.002
            vs.append((x,y,zi))
    for i in range(NX):
        for j in range(NV):
            a=i*(NV+1)+j
            fs.append((a,a+1,a+NV+2,a+NV+1))
    mesh_obj("Cupid's bow • upper lip" if upper else "Full lower labial plane",vs,fs)
pts=[]; rr=[]
for i in range(101):
    a=-1+2*i/100
    x=.411*a
    z=mouth_z(a)
    w=max(0,1-a*a)**.65
    pts.append((x,face_y(x,z)-.027*w-.001,z))
    rr.append(.0065*math.sin(math.pi*i/100)**.5+.001)
tube("Quiet recessed mouth aperture",pts,rr,recess,8)

# Anatomical ears, attached by a broad root: cupped pinna, helix,
# bifurcated antihelix, tragus, antitragus and soft lobule.
def ellipsoid(name, loc, scale, mat=plaster, seg=48, rings=32):
    bpy.ops.mesh.primitive_uv_sphere_add(segments=seg, ring_count=rings, location=loc)
    ob=bpy.context.object
    ob.name=name
    ob.scale=scale
    ob.data.materials.append(mat)
    for poly in ob.data.polygons:
        poly.use_smooth=True
    return ob

for side in [-1,1]:
    origin=Vector((side*.965,.035,6.025))
    U=Vector((side*.82,.572,0))
    N=Vector((side*.572,-.82,0))
    Z=Vector((0,0,1))
    def ep(u,v,h):
        return origin+U*u+Z*v+N*h
    ellipsoid("Buried auricular root",tuple(ep(.045,-.01,-.008)),(.14,.165,.375))
    v,f=[],[]
    NR,NT=25,88
    for j in range(NR+1):
        r=j/NR
        for i in range(NT):
            a=2*math.pi*i/NT
            u=.180+.223*r*math.cos(a)*(1+.08*math.sin(a))
            zz=.485*r*math.sin(a)
            # broad relief cup, deepest at the concha
            h=-.012+.080*math.exp(-((r-.84)/.16)**2)-.044*math.exp(-(r/.48)**2)
            v.append(tuple(ep(u,zz,h)))
    for j in range(NR):
        for i in range(NT):
            a=j*NT+i;b=j*NT+(i+1)%NT
            f.append((a,b,b+NT,a+NT))
    # Thickness returns the outer border into the skull.
    base=len(v)
    for i in range(NT):
        a=2*math.pi*i/NT
        v.append(tuple(ep(.180+.223*math.cos(a)*(1+.08*math.sin(a)),.485*math.sin(a),-.075)))
    for i in range(NT):
        a=NR*NT+i;b=NR*NT+(i+1)%NT
        f.append((a,b,base+(i+1)%NT,base+i))
    f.append(tuple(base+i for i in reversed(range(NT))))
    mesh_obj("Sculpted auricle "+str(side),v,f)
    pts=[];rs=[]
    for i in range(95):
        a=-1.17+5.84*i/94
        u=.180+.211*math.cos(a)*(1+.08*math.sin(a))
        zz=.462*math.sin(a)
        pts.append(tuple(ep(u,zz,.082)))
        rs.append(.024+.020*math.sin(math.pi*i/94)**.45)
    tube("Rolled helix "+str(side),pts,rs,sides=12)
    # Antihelix stem and its superior fork.
    for branch in [0,1]:
        pts=[];rs=[]
        for i in range(43):
            t=i/42
            if branch==0:
                u=.215+.055*math.sin(math.pi*t)-.063*t
                zz=-.285+.63*t
            else:
                u=.235-.17*t
                zz=.09+.205*t
            pts.append(tuple(ep(u,zz,.036+.012*math.sin(math.pi*t))))
            rs.append(.009+.023*math.sin(math.pi*t)**.5)
        tube("Antihelix fork "+str(side),pts,rs,sides=10)
    ellipsoid("Tragus "+str(side),tuple(ep(.040,-.070,.055)),(.058,.061,.100),seg=32,rings=20)
    ellipsoid("Antitragus "+str(side),tuple(ep(.150,-.245,.061)),(.060,.049,.060),seg=32,rings=20)
    ellipsoid("Lobule "+str(side),tuple(ep(.172,-.411,.005)),(.111,.089,.119),seg=36,rings=24)

# Classical wavy hair.  A real scalp volume carries interlocking, tapered
# locks; each lock has broad carved flutes rather than fine strand hairs.
def theta_edge(phi):
    front=math.cos(phi)
    if front>0:
        # curved temple recession, lower sides, open central forehead
        return 1.10+.54*(1-front)**.70
    return 1.64+.30*(-front)

def scalp(theta,phi):
    return Vector((1.087*math.sin(theta)*math.sin(phi),
                   .105-1.125*math.sin(theta)*math.cos(phi),
                   6.48+1.295*math.cos(theta)))

def scalp_normal(theta,phi):
    v=scalp(theta,phi)-Vector((0,.105,6.48))
    return Vector((v.x/(1.087**2),v.y/(1.125**2),v.z/(1.295**2))).normalized()

v,f=[],[]
NH,NP=66,180
for j in range(NH+1):
    t=j/NH
    for i in range(NP):
        phi=2*math.pi*i/NP
        edge=theta_edge(phi)+.018*math.sin(9*phi)+.012*math.sin(17*phi)
        th=.002+(edge-.002)*t
        p0=scalp(th,phi)
        relief=.024*math.sin(9*phi+th*8)*math.sin(th)**2
        p0+=scalp_normal(th,phi)*relief
        v.append(tuple(p0))
for j in range(NH):
    for i in range(NP):
        a=j*NP+i;b=j*NP+(i+1)%NP
        f.append((a,b,b+NP,a+NP))
# Turn under at the hairline instead of leaving a paper-thin cap.
base=len(v)
for i in range(NP):
    phi=2*math.pi*i/NP
    p0=scalp(theta_edge(phi),phi)-scalp_normal(theta_edge(phi),phi)*.095
    v.append(tuple(p0))
for i in range(NP):
    a=NH*NP+i;b=NH*NP+(i+1)%NP
    f.append((a,b,base+(i+1)%NP,base+i))
mesh_obj("Hair • solid undercut mass",v,f)

def hair_lock(name, params, width, height, phase=0, lift=.02):
    centers=[];normals=[]
    for th,ph in params:
        n=scalp_normal(th,ph)
        centers.append(scalp(th,ph)+n*lift)
        normals.append(n)
    vs,fs=[],[]
    count=len(centers)
    around=24
    for i in range(count):
        t=i/(count-1)
        tangent=(centers[min(i+1,count-1)]-centers[max(0,i-1)]).normalized()
        n=normals[i]
        b=tangent.cross(n).normalized()
        n=b.cross(tangent).normalized()
        if n.dot(normals[i])<0:
            n=-n
        taper=(.17+.83*math.sin(math.pi*t)**.46)
        # Broad asymmetric crest with three quiet longitudinal tool flutes.
        for k in range(around):
            a=2*math.pi*k/around
            lateral=math.cos(a)
            top=math.sin(a)
            h=height*top
            if top>0:
                grooves=0
                for c in [-.52,.03,.54]:
                    grooves+=math.exp(-((lateral-c-.045*math.sin(t*5+phase))/.072)**2)
                h-=.015*grooves*top
            point=centers[i]+b*(width*taper*lateral)+n*(h*taper)
            vs.append(tuple(point))
    for i in range(count-1):
        for k in range(around):
            a=i*around+k;b=i*around+(k+1)%around
            fs.append((a,b,b+around,a+around))
    fs.append(tuple(reversed(range(around))))
    fs.append(tuple((count-1)*around+k for k in range(around)))
    return mesh_obj(name,vs,fs)

# Staggered crown-to-temple flowing locks.
lock_index=0
for row,(th0,num,length) in enumerate([(.15,9,.58),(.55,15,.57),(.94,19,.53),(1.31,20,.43),(1.60,15,.33)]):
    for k in range(num):
        phi=2*math.pi*(k+.46*(row%2))/num+random.uniform(-.055,.055)
        edge=theta_edge(phi)
        start=th0+random.uniform(-.065,.035)
        if start>edge-.16:
            continue
        end=min(start+length+random.uniform(-.07,.07),edge+.024)
        params=[]
        sweep=.17+random.uniform(-.04,.09)
        if math.sin(phi)<0:
            sweep=-sweep
        for i in range(43):
            t=i/42
            th=start+(end-start)*t
            ph=phi+sweep*math.sin(math.pi*t*.83)+.035*math.sin(2*math.pi*t)
            params.append((th,ph))
        hair_lock("Carved wavy lock %03d"%lock_index,params,
                  random.uniform(.135,.196),random.uniform(.085,.133),
                  phase=random.random()*6,lift=random.uniform(.03,.055))
        lock_index+=1

# More freely curled, individually modelled locks at the face and temples.
# These overturn the hairline, breaking the silhouette with real clumped mass.
for k in range(19):
    phi=-1.72+3.44*k/18+random.uniform(-.025,.025)
    edge=theta_edge(phi)
    params=[]
    curl_direction=1 if phi>=0 else -1
    for i in range(58):
        t=i/57
        # S-curve followed by a tucked-in end, on the scalp's own surface.
        th=edge-.29+.40*t-.115*t**5
        ph=phi+curl_direction*(.100*math.sin(t*math.pi*1.65)+.031*t)
        params.append((th,ph))
    hair_lock("Overturned forehead curl %02d"%k,params,
              random.uniform(.116,.16),random.uniform(.11,.155),
              phase=k*.8,lift=.075)

# Tighter hooked waves around the back of the head and above the ears.
for side in [-1,1]:
    for k in range(7):
        phi=side*(1.53+.215*k)
        e=theta_edge(phi)
        params=[]
        for j in range(48):
            t=j/47
            th=e-.25+.23*t+.072*math.sin(math.pi*t)
            ph=phi+side*.12*math.sin(t*math.pi*1.5)
            params.append((th,ph))
        hair_lock("Nape and temporal curl",params,.133,.113,k,.055)

# A barely raised mold seam on the rear of the cast, where a real two-part
# atelier mold would leave it. It is deliberately not drawn across the face.
points=[]
for i in range(90):
    z=3.19+2.62*i/89
    if z<=5.39:
        w=interp(z,neck_w)
        d=interp(z,neck_d)
        a=2.76
        x=w*math.sin(a)
        y=.20-d*math.cos(a)
    else:
        w=interp(z,widths)
        x=w*.37
        y=interp(z,backs)*math.sqrt(1-.37**2)
    points.append((x,y+.004,z))
tube("Subtle rear mold seam",points,.0045,seam_mat,7)

# Integral oval socle, made as a turned mesh with a few small edge losses.
profile=[(2.64,1.04,.735),(2.68,1.115,.78),(2.755,1.115,.78),
         (2.79,1.03,.725),(2.84,.96,.68),(2.94,.89,.635),
         (3.01,1.11,.635),(3.075,1.36,.65)]
v,f=[],[]
NS=160
for j,(z,rx,ry) in enumerate(profile):
    for i in range(NS):
        a=2*math.pi*i/NS
        nick=0
        if j in [1,2,3]:
            for center,spread,depth in [(3.94,.030,.031),(4.51,.022,.019),(5.39,.018,.025),(1.62,.025,.018)]:
                da=abs((a-center+math.pi)%(2*math.pi)-math.pi)
                nick+=depth*math.exp(-(da/spread)**4)
        v.append(((rx-nick)*math.cos(a),.16+(ry-nick)*math.sin(a),z-.35*nick))
for j in range(len(profile)-1):
    for i in range(NS):
        a=j*NS+i;b=j*NS+(i+1)%NS
        f.append((a,b,b+NS,a+NS))
f.append(tuple(reversed(range(NS))))
f.append(tuple((len(profile)-1)*NS+i for i in range(NS)))
socle=mesh_obj("Integral oval socle • small chipped arrises",v,f)

# Simple, unornamented column pedestal.
def bevel_cube(name, loc, scale, mat, bevel):
    bpy.ops.mesh.primitive_cube_add(size=1,location=loc)
    ob=bpy.context.object
    ob.name=name
    ob.dimensions=scale
    bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)
    ob.data.materials.append(mat)
    mod=ob.modifiers.new("Soft stone arris","BEVEL")
    mod.width=bevel
    mod.segments=3
    ob.modifiers.new("Weighted corner normals","WEIGHTED_NORMAL")
    return ob

bevel_cube("Plain square studio pedestal", (0,.16,1.24),(2.05,1.83,2.48),ped_mat,.045)
bevel_cube("Pedestal top slab",(0,.16,2.555),(2.30,2.06,.17),ped_mat,.025)
bevel_cube("Pedestal foot",(0,.16,.10),(2.19,1.97,.20),ped_mat,.025)

# Neutral seamless studio, soft atelier key and restrained reflected fill.
bpy.ops.mesh.primitive_plane_add(size=200,location=(0,0,-.013))
floor=bpy.context.object
floor.name="Seamless neutral studio ground"
floor.data.materials.append(floor_mat)

world=bpy.data.worlds.new("Studio ambient")
world.use_nodes=True
world.node_tree.nodes.get("Background").inputs["Color"].default_value=(.34,.36,.40,1)
world.node_tree.nodes.get("Background").inputs["Strength"].default_value=.22
bpy.context.scene.world=world

def area(name,loc,power,color,size,target):
    data=bpy.data.lights.new(name,'AREA')
    data.energy=power
    data.color=color
    data.shape='DISK'
    data.size=size
    ob=bpy.data.objects.new(name,data)
    bpy.context.collection.objects.link(ob)
    ob.location=loc
    ob.rotation_euler=(Vector(target)-ob.location).to_track_quat('-Z','Y').to_euler()
    return ob

area("Large soft key • raking the facial planes",(-5.5,-7.0,10.5),1150,(1,.94,.85),3.5,(0,-.35,5.95))
area("Restrained studio bounce",(5.0,-4.0,6.5),160,(.84,.9,1),4.0,(0,0,5.6))
area("Soft high rear separation",(2.0,4.0,10.0),750,(1,.96,.89),3.2,(0,.2,6.15))

# Catalogue framing: eye-height camera, a restrained three-quarter turn,
# pedestal cropped low so the sculpt itself occupies the plate.
bpy.ops.object.camera_add(location=(7.2,-15.0,6.30))
camera=bpy.context.object
camera.name="Catalogue • eye-level three-quarter"
target=Vector((0,-.035,5.26))
camera.rotation_euler=(target-camera.location).to_track_quat('-Z','Y').to_euler()
camera.data.lens=93
camera.data.sensor_width=36
camera.data.clip_start=.1
camera.data.clip_end=250
camera.data.dof.use_dof=False
bpy.context.scene.camera=camera

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.resolution_percentage=100
scene.render.image_settings.file_format='PNG'
scene.render.film_transparent=False
scene.view_settings.view_transform='AgX'
scene.view_settings.look='AgX - Medium High Contrast'
scene.view_settings.exposure=.05
scene.render.filepath='/mnt/data/render.png'
scene.world.color=(.15,.15,.15)

# Helpful organization in the saved, fully editable scene.
scene["Artwork"]="ATELIER / ideal youth in the antique manner"
scene["Medium"]="White casting plaster; geometric blank eyes; carved clumped waves"
scene["Presentation"]="Single cast, integral oval socle, plain column, raking soft studio light"
bpy.ops.wm.save_as_mainfile(filepath='/mnt/data/scene.blend')
```