rembg with ONNX Runtime on CPU was chosen over BiRefNet: the latter
requires deform_conv2d which crashes on ROCm bfloat16 and runs at 40s
in float32. rembg delivers 0.23s per 1024x1024 image, no GPU deps,
and isnet-anime is trained specifically on anime images — exactly the
target domain.
CLI and session API both support single-image and batch (plural-first)
modes, reusing one model session across files.
- Consolidate TECH_SPEC into README as single source of truth
- Remove TECH_SPEC.md (375-line README covers everything)
- Fix architecture diagram: Qwen transformer ~5GB → ~20GB (20B params)
- Remove unimplemented CLI flags from docs: --sampler, --scheduler, --clip,
--vae, --turbo (these don't exist in the actual code)
- Replace 'FP8 native compute' claim with actual FP8→BF16 conversion
- Replace 'peft' with actual diffusers native LoRA loading
- Move aspirational optimizations (VAE overlap, shared encode) to Future
- Resolve stale Open Questions; keep torch.compile as Future item
- Move 'Persistent model session' and 'Qwen Image Edit' from Future to
implemented status with documented API
- Update performance numbers with actual measured session+flash numbers
- Document flash attention path alongside matmul fallback
- Simplify data flow diagram, remove ComfyUI-only kontext_scale concept
- Remove dead doc links (sdxl-generation.md)
- Support (word:weight), [word], ((nested)) syntax
- Support BREAK for conditioning chunking (.and() translation)
- Use CompelForSDXL (modern API, avoids deprecation)
- Add --raw flag to bypass weighting and fall back to plain encoding
- Update README with Prompt Syntax section and examples
- Add docs/comfyui-prompt-style.md with design doc
