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update todo

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Signed-off-by: vladmandic <mandic00@live.com>
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vladmandic
2026-01-08 09:36:03 +01:00
parent 49e09e625c
commit 81d0d33573
2 changed files with 21 additions and 22 deletions
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TODO.md
+20 -21
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@@ -2,8 +2,6 @@
## Known issues
- z-image-turbo controlnet device mismatch: <https://github.com/huggingface/diffusers/pull/12886>
- z-image-turbo safetensors loader: <https://github.com/huggingface/diffusers/issues/12887>
- kandinsky-image-5 hardcoded cuda: <https://github.com/huggingface/diffusers/pull/12814>
- peft lora with torch-rocm-windows: <https://github.com/huggingface/peft/pull/2963>
@@ -13,21 +11,21 @@
## Internal
- Reimplement `llama` remover for kanvas
- Deploy: Create executable for SD.Next
- Feature: Integrate natural language image search
[ImageDB](https://github.com/vladmandic/imagedb)
- Feature: Transformers unified cache handler
- Feature: Remote Text-Encoder support
- Refactor: [Modular pipelines and guiders](https://github.com/huggingface/diffusers/issues/11915)
- Refactor: move sampler options to settings to config
- Refactor: [GGUF](https://huggingface.co/docs/diffusers/main/en/quantization/gguf)
- Feature: LoRA add OMI format support for SD35/FLUX.1
- Reimplement `llama` remover for Kanvas
- Deploy: Create executable for SD.Next
- Feature: Integrate natural language image search
[ImageDB](https://github.com/vladmandic/imagedb)
- Feature: Transformers unified cache handler
- Feature: Remote Text-Encoder support
- Refactor: [Modular pipelines and guiders](https://github.com/huggingface/diffusers/issues/11915)
- Refactor: move sampler options to settings to config
- Refactor: [GGUF](https://huggingface.co/docs/diffusers/main/en/quantization/gguf)
- Feature: LoRA add OMI format support for SD35/FLUX.1
- Refactor: remove `CodeFormer`
- Refactor: remove `GFPGAN`
- UI: Lite vs Expert mode
- Video tab: add full API support
- Control tab: add overrides handling
- Refactor: remove `GFPGAN`
- UI: Lite vs Expert mode
- Video tab: add full API support
- Control tab: add overrides handling
- Engine: `TensorRT` acceleration
- Engine: [mmgp](https://github.com/deepbeepmeep/mmgp)
- Engine: [sharpfin](https://github.com/drhead/sharpfin) instead of `torchvision`
@@ -35,11 +33,11 @@
## Features
- [Flux.2 TinyVAE](https://huggingface.co/fal/FLUX.2-Tiny-AutoEncoder)
- [IPAdapter composition](https://huggingface.co/ostris/ip-composition-adapter)
- [IPAdapter negative guidance](https://github.com/huggingface/diffusers/discussions/7167)
- [MagCache](https://github.com/lllyasviel/FramePack/pull/673/files)
- [SmoothCache](https://github.com/huggingface/diffusers/issues/11135)
- [STG](https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#spatiotemporal-skip-guidance)
- [IPAdapter composition](https://huggingface.co/ostris/ip-composition-adapter)
- [IPAdapter negative guidance](https://github.com/huggingface/diffusers/discussions/7167)
- [MagCache](https://github.com/lllyasviel/FramePack/pull/673/files)
- [SmoothCache](https://github.com/huggingface/diffusers/issues/11135)
- [STG](https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#spatiotemporal-skip-guidance)
- [Video Inpaint Pipeline](https://github.com/huggingface/diffusers/pull/12506)
- [Sonic Inpaint](https://github.com/ubc-vision/sonic)
@@ -47,6 +45,7 @@
TODO: *Prioritize*!
- [LTXVideo 2.0](https://github.com/huggingface/diffusers/pull/12915)
- [LTXVideo 0.98 LongMulti](https://github.com/huggingface/diffusers/pull/12614)
- [Cosmos-Predict-2.5](https://huggingface.co/nvidia/Cosmos-Predict2.5-2B)
- [NewBie Image Exp0.1](https://github.com/huggingface/diffusers/pull/12803)
installer.py
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@@ -680,7 +680,7 @@ def check_transformers():
target_tokenizers = '0.21.4'
else:
target_transformers = '4.57.3'
target_tokenizers = '0.22.1'
target_tokenizers = '0.22.2'
if (pkg_transformers is None) or ((pkg_transformers.version != target_transformers) or (pkg_tokenizers is None) or ((pkg_tokenizers.version != target_tokenizers) and (not args.experimental))):
if pkg_transformers is None:
log.info(f'Transformers install: version={target_transformers}')