Muyang Li
f0fd71d4de
* start building docs * add docs * adding docs * get utils done * update docs * update * finished the LoRA node * update * update * add docs * writing docs for text encoder * finished the docs for text encoders * fixing the import errors * update * docs built successfully * add the get_started bullets * update docs * update usage docs * debugging * update docs * update * update * add the two deprecated pulid nodes * add docs * make linter happy * update docs * update * update * update fill * docs: update the wechat link (#395) * update * add a new links * update links * make linter happy * fixing links * fixing links * fixing the links * fixed the links * writing the contribution guide * update * finished the contribution guide * make linter happy * update README * update the workflows * update * update the links of the tests
55 lines
2.7 KiB
ReStructuredText
55 lines
2.7 KiB
ReStructuredText
FLUX Depth
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==========
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.. _nunchaku-flux.1-depth-json:
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nunchaku-flux.1-depth.json
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--------------------------
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.. image:: https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/nunchaku-flux.1-depth.png
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:alt: nunchaku-flux.1-depth.json
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:target: https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-flux.1-depth.json
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Image-to-image workflow for style transfer using depth detection with the Nunchaku FLUX.1-Depth-dev model.
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**Links:**
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- Workflow: :download:`nunchaku-flux.1-depth.json <https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-flux.1-depth.json>`
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- Nunchaku FLUX.1-Depth-dev: :download:`Hugging Face <https://huggingface.co/nunchaku-tech/nunchaku-flux.1-depth-dev>` or :download:`ModelScope <https://modelscope.cn/models/nunchaku-tech/nunchaku-flux.1-depth-dev>`
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(Place in ``models/diffusion_models``)
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- Example input image: :download:`logo.png <https://huggingface.co/datasets/nunchaku-tech/test-data/resolve/main/ComfyUI-nunchaku/inputs/logo.png>`
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.. note::
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You need to install `comfyui_controlnet_aux <https://github.com/Fannovel16/comfyui_controlnet_aux>`_ to use this workflow.
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.. seealso::
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See node :ref:`nunchaku-flux-dit-loader`.
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.. _nunchaku-flux.1-depth-lora-json:
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nunchaku-flux.1-depth-lora.json
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-------------------------------
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.. image:: https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/ComfyUI-nunchaku/workflows/nunchaku-flux.1-depth-lora.png
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:alt: nunchaku-flux.1-depth-lora.json
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:target: https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-flux.1-depth-lora.json
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Image-to-image workflow for style transfer using depth detection with the Nunchaku FLUX.1-dev model and FLUX.1-Depth-dev LoRA.
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**Links:**
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- Workflow: :download:`nunchaku-flux.1-depth-lora.json <https://github.com/nunchaku-tech/ComfyUI-nunchaku/blob/main/example_workflows/nunchaku-flux.1-depth-lora.json>`
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- Nunchaku FLUX.1-dev: :download:`Hugging Face <https://huggingface.co/nunchaku-tech/nunchaku-flux.1-dev>` or :download:`ModelScope <https://modelscope.cn/models/nunchaku-tech/nunchaku-flux.1-dev>`
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(Place in ``models/diffusion_models``)
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- FLUX.1-Depth-dev LoRA: :download:`Hugging Face <https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev-lora>`
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(Place in ``models/loras``)
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- Example input image: :download:`logo.png <https://huggingface.co/datasets/nunchaku-tech/test-data/resolve/main/ComfyUI-nunchaku/inputs/logo.png>`
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.. note::
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You need to install `comfyui_controlnet_aux <https://github.com/Fannovel16/comfyui_controlnet_aux>`_ to use this workflow.
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.. seealso::
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See nodes :ref:`nunchaku-flux-dit-loader`, :ref:`nunchaku-flux-lora-loader`.
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