mirror of https://github.com/vladmandic/automatic
83 lines
3.6 KiB
Markdown
83 lines
3.6 KiB
Markdown
# TODO
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Main ToDo list can be found at [GitHub projects](https://github.com/users/vladmandic/projects)
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## Future Candidates
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- Remote TE
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- [Canvas](https://konvajs.org/)
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- Refactor: [Modular pipelines and guiders](https://github.com/huggingface/diffusers/issues/11915)
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- Refactor: Sampler options
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- Refactor: [GGUF](https://huggingface.co/docs/diffusers/main/en/quantization/gguf)
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- Feature: LoRA add OMI format support for SD35/FLUX.1
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- Video Core: API
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- Video LTX: TeaCache and others, API, Conditioning preprocess Video: LTX API
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### Blocked items
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- Upgrade: `pydantic`
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- see <https://github.com/Cschlaefli/automatic>
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- Upgrade: `albumentations`
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- blocked by `insightface`
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### Under Consideration
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- [X-Omni](https://github.com/X-Omni-Team/X-Omni/blob/main/README.md)
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- [DiffSynth Studio](https://github.com/modelscope/DiffSynth-Studio)
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- [IPAdapter negative guidance](https://github.com/huggingface/diffusers/discussions/7167)
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- [IPAdapter composition](https://huggingface.co/ostris/ip-composition-adapter)
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- [STG](https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#spatiotemporal-skip-guidance)
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- [SmoothCache](https://github.com/huggingface/diffusers/issues/11135)
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- [MagCache](https://github.com/lllyasviel/FramePack/pull/673/files)
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- [Nunchaku PulID](https://github.com/mit-han-lab/nunchaku/pull/274)
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- [Dream0 guidance](https://huggingface.co/ByteDance/DreamO)
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- [SUPIR upscaler](https://github.com/Fanghua-Yu/SUPIR)
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- Remove: Agent Scheduler
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- Remove: CodeFormer
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- Remove: GFPGAN
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- ModernUI: Lite vs Expert mode
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- Engine: TensorRT acceleration
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### New models
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#### Diffusers:WiP
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- [Magi](https://github.com/SandAI-org/MAGI-1)(https://github.com/huggingface/diffusers/pull/11713)
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- [SEVA](https://github.com/huggingface/diffusers/pull/11440)
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#### External
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- [HunyuanImage](https://huggingface.co/tencent/HunyuanImage-2.1)
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- [Lumina-DiMOO](https://huggingface.co/Alpha-VLLM/Lumina-DiMOO)
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- [Ming](https://github.com/inclusionAI/Ming)
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- [Liquid](https://github.com/FoundationVision/Liquid)
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- [Step1X](https://github.com/stepfun-ai/Step1X-Edit)
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- [SD3 UltraEdit](https://github.com/HaozheZhao/UltraEdit)
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- [WAN2GP](https://github.com/deepbeepmeep/Wan2GP)
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- [SelfForcing](https://github.com/guandeh17/Self-Forcing)
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- [DiffusionForcing](https://github.com/kwsong0113/diffusion-forcing-transformer)
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- [LanDiff](https://github.com/landiff/landiff)
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- [HunyuanCustom](https://github.com/Tencent-Hunyuan/HunyuanCustom)
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- [HunyuanAvatar](https://huggingface.co/tencent/HunyuanVideo-Avatar)
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- [WAN-CausVid](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid)
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- [WAN-CausVid-Plus t2v](https://github.com/goatWu/CausVid-Plus/)
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- [WAN-StepDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill)
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## Code TODO
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> pnpm lint | grep W0511 | awk -F'TODO ' '{print "- "$NF}' | sed 's/ (fixme)//g' | sort
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- control: support scripts via api
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- fc: autodetect distilled based on model
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- fc: autodetect tensor format based on model
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- hypertile: vae breaks when using non-standard sizes
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- install: enable ROCm for windows when available
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- loader: load receipe
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- loader: save receipe
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- lora: add other quantization types
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- lora: add t5 key support for sd35/f1
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- lora: maybe force imediate quantization
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- model load: force-reloading entire model as loading transformers only leads to massive memory usage
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- model load: implement model in-memory caching
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- modernui: monkey-patch for missing tabs.select event
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- modules/lora/lora_extract.py:188:9: W0511: TODO: lora: support pre-quantized flux
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- processing: remove duplicate mask params
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- resize image: enable full VAE mode for resize-latent
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