mirror of https://github.com/vladmandic/automatic
95 lines
4.4 KiB
Markdown
95 lines
4.4 KiB
Markdown
# TODO
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## Project Board
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- <https://github.com/users/vladmandic/projects>
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## Internal
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- UI: New inpaint/outpaint interface
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[Kanvas](https://github.com/vladmandic/kanvas)
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- Deploy: Create executable for SD.Next
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- Feature: Integrate natural language imagesearch
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[ImageDB](https://github.com/vladmandic/imagedb)
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- Feature: Transformers unified cache handler
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- Feature: Remote Text-Encoder support
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- Refactor: [Modular pipelines and guiders](https://github.com/huggingface/diffusers/issues/11915)
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- Refactor: move sampler options to settings to config
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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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- Refactor: remove `CodeFormer`
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- Refactor: remove `GFPGAN`
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- UI: Lite vs Expert mode
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- Video tab: add full API support
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- Control tab: add overrides handling
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- Engine: TensorRT acceleration
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## Features
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- [IPAdapter composition](https://huggingface.co/ostris/ip-composition-adapter)
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- [IPAdapter negative guidance](https://github.com/huggingface/diffusers/discussions/7167)
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- [MagCache](https://github.com/lllyasviel/FramePack/pull/673/files)
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- [SmoothCache](https://github.com/huggingface/diffusers/issues/11135)
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- [STG](https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#spatiotemporal-skip-guidance)
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- [Video Inpaint Pipeline](https://github.com/huggingface/diffusers/pull/12506)
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### New models / Pipelines
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TODO: *Prioritize*!
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- [Bria FIBO](https://huggingface.co/briaai/FIBO)
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- [Bytedance Lynx](https://github.com/bytedance/lynx)
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- [ByteDance OneReward](https://github.com/bytedance/OneReward)
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- [ByteDance USO](https://github.com/bytedance/USO)
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- [Chroma1 Radiance](https://huggingface.co/lodestones/Chroma1-Radiance)
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- [DiffSynth Studio](https://github.com/modelscope/DiffSynth-Studio)
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- [DiffusionForcing](https://github.com/kwsong0113/diffusion-forcing-transformer)
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- [Dream0 guidance](https://huggingface.co/ByteDance/DreamO)
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- [HunyuanAvatar](https://huggingface.co/tencent/HunyuanVideo-Avatar)
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- [HunyuanCustom](https://github.com/Tencent-Hunyuan/HunyuanCustom)
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- [Inf-DiT](https://github.com/zai-org/Inf-DiT)
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- [Krea Realtime Video](https://huggingface.co/krea/krea-realtime-video)
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- [LanDiff](https://github.com/landiff/landiff)
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- [Liquid](https://github.com/FoundationVision/Liquid)
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- [LongCat-Video](https://huggingface.co/meituan-longcat/LongCat-Video)
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- [LucyEdit](https://github.com/huggingface/diffusers/pull/12340)
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- [Lumina-DiMOO](https://huggingface.co/Alpha-VLLM/Lumina-DiMOO)
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- [Magi](https://github.com/SandAI-org/MAGI-1)(https://github.com/huggingface/diffusers/pull/11713)
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- [Ming](https://github.com/inclusionAI/Ming)
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- [MUG-V 10B](https://huggingface.co/MUG-V/MUG-V-inference)
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- [Ovi](https://github.com/character-ai/Ovi)
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- [Phantom HuMo](https://github.com/Phantom-video/Phantom)
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- [SD3 UltraEdit](https://github.com/HaozheZhao/UltraEdit)
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- [SelfForcing](https://github.com/guandeh17/Self-Forcing)
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- [SEVA](https://github.com/huggingface/diffusers/pull/11440)
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- [Step1X](https://github.com/stepfun-ai/Step1X-Edit)
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- [Wan-2.2 Animate](https://github.com/huggingface/diffusers/pull/12526)
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- [Wan-2.2 S2V](https://github.com/huggingface/diffusers/pull/12258)
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- [WAN-CausVid-Plus t2v](https://github.com/goatWu/CausVid-Plus/)
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- [WAN-CausVid](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid)
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- [WAN-StepDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill)
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- [Wan2.2-Animate-14B](https://huggingface.co/Wan-AI/Wan2.2-Animate-14B)
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- [WAN2GP](https://github.com/deepbeepmeep/Wan2GP)
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## Code TODO
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> npm run todo
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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: switch to pytorch source when it becomes 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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- modules/modular_guiders.py:65:58: W0511: TODO: guiders
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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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