dengdong
ff5d45dd3f
* [feat] add nodes for z-image * updates for fp4 state dict loading * support lora * remove unused lora loader * add doc string & move NunchakuModelPatcher to common.py (avoid package confict) * test case for z-image-turbo lora * refine test cases * downgrade logging * modify test case metrics * create example workflow and documentation for z-image-turbo txt-2-img with LoRAs * create example workflow and documentation for running nunchaku z-image-turbo with official controlnet * fix file name * fix file path * update
67 lines
3.2 KiB
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67 lines
3.2 KiB
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Z-Image-Turbo
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=============
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.. _nunchaku-z-image-turbo-json:
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nunchaku-z-image-turbo.json
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.. image:: https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/nunchaku-z-image-turbo.png
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:alt: nunchaku-z-image-turbo.json
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:target: https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-z-image-turbo.json
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Text-to-image workflow using the Nunchaku Z-Image-Turbo model.
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**Links:**
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- Workflow: :download:`nunchaku-z-image-turbo.json <https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-z-image-turbo.json>`
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- Nunchaku Z-Image-Turbo: :download:`Hugging Face <https://huggingface.co/nunchaku-tech/nunchaku-z-image-turbo>` or :download:`ModelScope <https://modelscope.cn/models/nunchaku-tech/nunchaku-z-image-turbo>`
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(Place in ``models/diffusion_models``)
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.. _nunchaku-z-image-turbo-lora-json:
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nunchaku-z-image-turbo-lora.json
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--------------------------------
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.. image:: https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/nunchaku-z-image-turbo-lora.png
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:alt: nunchaku-z-image-turbo-lora.json
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:target: https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-z-image-turbo-lora.json
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Text-to-image workflow using the Nunchaku Z-Image-Turbo model, with one or multiple LoRAs loaded by native Lora Loader provided by ComfyUI.
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.. note::
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- Place your LoRA files in ``models/loras``.
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- You should use LoRAs that are compatible with Z-Image-Turbo model. LoRAs for other base models (such as Flux, Qwen-Image, etc.) will NOT work with Nunchaku Z-Image-Turbo model.
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**Links:**
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- Workflow: :download:`nunchaku-z-image-turbo-lora.json <https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-z-image-turbo-lora.json>`
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- Nunchak Z-Image-Turbo: :download:`Hugging Face <https://huggingface.co/nunchaku-tech/nunchaku-z-image-turbo>` or :download:`ModelScope <https://modelscope.cn/models/nunchaku-tech/nunchaku-z-image-turbo>`
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(Place in ``models/diffusion_models``)
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.. _nunchaku-z-image-turbo-controlnet-json:
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nunchaku-z-image-turbo-controlnet.json
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--------------------------------------
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.. image:: https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/nunchaku-z-image-turbo-controlnet.png
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:alt: nunchaku-z-image-turbo-controlnet.json
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:target: https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-z-image-turbo-controlnet.json
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Text-to-image workflow using the Nunchaku Z-Image-Turbo model with official controlnet (https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union).
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.. note::
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Place controlnet model file in ``models/model_patches``.
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**Links:**
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- Workflow: :download:`nunchaku-z-image-turbo-controlnet.json <https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-z-image-turbo-controlnet.json>`
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- Nunchak Z-Image-Turbo: :download:`Hugging Face <https://huggingface.co/nunchaku-tech/nunchaku-z-image-turbo>` or :download:`ModelScope <https://modelscope.cn/models/nunchaku-tech/nunchaku-z-image-turbo>`
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(Place in ``models/diffusion_models``)
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.. seealso::
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See nodes :ref:`nunchaku-z-image-dit-loader`.
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