牛来风格图片生成

style-transfer

stylized-concept

Choose the mode

• Default to

  niulai-film-3d

  : rough low-budget 3D observed in public film frames.
• Use

  niulai-poster-ink

  only when the user explicitly asks for the water-ink poster. Never mix the poster with the film-frame references.
• Describe the result as matching the observed public-frame visual grammar, not as an official art specification.

Prepare inputs

1. Label the edit target as Image 1.
2. Select two style references from

   assets/style-reference/

   that cover face and body. The image tool accepts at most three inputs total.
3. If a source still is wider than about 1600 px, resize a working copy first. Oversized stills fail.
4. Preserve the target's character count, positions, action, clothing-color roles, key props, and camera crop unless the user asks to change them.
5. Remove source logos, titles, dates, subtitles, and watermarks from the output.
6. If a still is blocked by moderation, stop that still and switch to another adult scene. Do not paraphrase to retry. Prefer stills of adults; skip group shots of children.

Build the first prompt

Use case: style-transfer
Asset type: <intended use and aspect>
Input images: Image 1 is the edit target; Images 2-N are style references. Match the look of Images 2-N, not a polished 3D reinterpretation.
Primary request: Rebuild Image 1 as cheap inflatable-costume 3D from an early-2000s amateur animation, while preserving <scene invariants>.
Character translation: Replace people with distinct upright bovine characters whose bodies are sausage-like inflatable suits; preserve identity through role, clothing color, pose, and left-right position rather than human facial likeness.
Style/medium: balloon torsos with almost no waist; oversized mask heads; pale plastic muzzles; small half-lidded eyes; uneven blunt horns; short tube limbs; mitten hands; white sock-hooves; blurry low-resolution fur-color bitmaps stretched across smooth blobby meshes; broad smears, visible seams and scale mismatch; weak contact shadows; primitive flat lighting; stock tutorial trees and painted backdrops; mild cinema-screen capture softness.
Constraints: <invariants>; no text, logo, watermark, subtitle, or date.
Avoid: professional 3D, clean low-poly, cinematic game art, realistic fur, appealing mascot design, Pixar/Disney, global illumination, correct human anatomy under an animal head.

Iterate deliberately

1. Generate one first-pass image.
2. Compare target, style reference, and output with

   scripts/.venv/bin/python scripts/make_comparison.py

   when local paths are available. Create

   scripts/.venv

   and install Pillow if that interpreter is missing.
3. Score all six rubric dimensions. Continue if total score is below 27/30, any dimension is below 4, or an automatic-fail condition applies.
4. Change one dominant failure per iteration:
   • live-action leftover -> rebuild the whole frame as 3D, including walls, props, and fire;
   • too polished -> degrade texture scale, seams, lighting coherence, and capture sharpness;
   • too cute -> flatten expressions, shrink eyes, widen muzzle, stiffen pose;
   • mascot-in-a-photo or vinyl suit -> replace with balloon geometry and blurry stretched low-resolution color bitmaps;
   • ragdoll overshoot -> remove button eyes, Frankenstein stitches, and letter prints;
   • reference bleed -> do not use a leopard/print ref unless the target character is spotted;
   • generic low-poly -> replace crisp facets with blobby forms and mismatched pasted textures;
   • material still looks skilled -> remove embossed/procedural detail, flatten to blurry low-resolution bitmaps, broad UV smears, and simple smooth meshes;
   • scene drift -> repeat character count, positions, props, and action invariants;
   • character merging -> name every character by position and action.
5. Re-state all invariants on every edit. Stop only after the threshold passes.

assets/showcases/iterations/

assets/showcases/final/

Deliver

• final image paths;
• final prompt or prompt template;
• per-image rubric score;
• which iteration changed the result materially;
• built-in image generation as the execution mode.