* Install missing nodes (e.g., comfyui-inpainteasy) following [this tutorial](https://github.com/ltdrdata/ComfyUI-Manager?tab=readme-ov-file#support-of-missing-nodes-installation).
2.**Download Required Models**: Follow [this tutorial](https://comfyanonymous.github.io/ComfyUI_examples/flux/) and download the required models into the appropriate directories using the commands below:
2.**Download Required Models**: Follow [this tutorial](https://comfyanonymous.github.io/ComfyUI_examples/flux/) and download the required models into the appropriate directories using the commands below:
4.**Select the SVDQuant Workflow**: Choose one of the SVDQuant workflows (`flux.1-dev-svdquant.json` or `flux.1-schnell-svdquant.json`) to get started.
4.**Select the SVDQuant Workflow**: Choose one of the SVDQuant workflows (`flux.1-dev-svdquant.json`, `flux.1-schnell-svdquant.json`, `flux.1-depth-svdquant.json`, `flux.1-canny-svdquant.json` or `flux.1-fill-svdquant.json`) to get started. For the flux.1 fill workflow, you can use the built-in MaskEditor tool to add mask on top of an image.
## SVDQuant Nodes
## SVDQuant Nodes
***SVDQuant Flux DiT Loader**: A node for loading the FLUX diffusion model.
***SVDQuant Flux DiT Loader**: A node for loading the FLUX diffusion model.
*`model_path`: Specifies the model location. If set to `mit-han-lab/svdq-int4-flux.1-schnell` or `mit-han-lab/svdq-int4-flux.1-dev`, the model will be automatically downloaded from our Hugging Face repository. Alternatively, you can manually download the model directory by running the following command:
*`model_path`: Specifies the model location. If set to `mit-han-lab/svdq-int4-flux.1-schnell`, `mit-han-lab/svdq-int4-flux.1-dev`, `mit-han-lab/svdq-int4-flux.1-canny-dev`, `mit-han-lab/svdq-int4-flux.1-fill-dev` or `mit-han-lab/svdq-int4-flux.1-depth-dev`, the model will be automatically downloaded from our Hugging Face repository. Alternatively, you can manually download the model directory by running the following command example:
"To add mask for fill inpainting, right click on the uploaded image and select \"Open in MaskEditor\". Use the brush tool to add masking and click save to continue."
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"title":"CLIP Text Encode (Positive Prompt)",
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