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Explicação gerada por IA com base nos detalhes da fonte e da configuração. As sugestões são claramente identificadas.
Use Sd3.5 Large ControlNet to create text-to-image images with Stable Diffusion 3.5 Large and ControlNet. Its listed nodes suggest a text prompt and control image as inputs, with image preview and saving as outputs.
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The GGUF example is shown with Canny control; the page says you can choose blur or depth instead.
The listed nodes are CLIPTextEncode and LoadImage for text and image handling, plus PreviewImage and SaveImage for image preview and saving.
For the GGUF setup, place sd3.5_large_controlnet_canny.safetensors (8.65GB) in ./ComfyUI/models/controlnet and sd3.5_large-q4_0.gguf (4.77GB) in ./ComfyUI/models/unet.
Place clip_g.safetensors (1.39GB), clip_l.safetensors (246MB), and t5xxl_fp8_e4m3fn.safetensors (4.89GB) in ./ComfyUI/models/clip; place diffusion_pytorch_model.safetensors (168MB) in ./ComfyUI/models/vae.
The page references ComfyUI, the ComfyUI-GGUF node, and the gguf-comfy pack.
The page offers a GGUF example and an original safetensors example, and recommends the GGUF example.
With the gguf-comfy pack, the page's instructions say to run the .bat file in the main directory, then drag the workflow JSON into a browser.
The page describes the original safetensors option as very demanding and advises using good hardware.
The page labels the license “other” and links a LICENSE file; review that file's terms before use.
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Requisitos
--- license: other license_name: stabilityai-ai-community license_link: LICENSE language: - en base_model: - stabilityai/stable-diffusion-3.5-controlnets pipeline_tag: text-to-image tags: - stable-diffusion - controlnet - gguf-comfy --- # GGUF quantized version of Stable Diffusion 3.5 Large with ControlNets  ## Setup (once) - drag sd3.5_large_controlnet_canny.safetensors ([8.65GB](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/sd3.5_large_controlnet_canny.safetensors)) to > ./ComfyUI/models/controlnet - drag sd3.5_large-q4_0.gguf ([4.77GB](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/sd3.5_large-q4_0.gguf)) to > ./ComfyUI/models/unet - drag clip_g.safetensors ([1.39GB](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/clip_g.safetensors)) to > ./ComfyUI/models/clip - drag clip_l.safetensors ([246MB](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/clip_l.safetensors)) to > ./ComfyUI/models/clip - drag t5xxl_fp8_e4m3fn.safetensors ([4.89GB](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/t5xxl_fp8_e4m3fn.safetensors)) to > ./ComfyUI/models/clip - drag diffusion_pytorch_model.safetensors ([168MB](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/diffusion_pytorch_model.safetensors)) to > ./ComfyUI/models/vae ## Run it straight (no installation needed way) - run the .bat file in the main directory (assuming you are using the gguf-comfy pack below) - drag the workflow json file (below) to > your browser ### Workflows - example workflow for [gguf](https://huggingface.co/calcuis/sd3.5-large-controlnet/blob/main/workflow-sd3.5-controlnet-gguf.json) (recommended; demo above is canny; free to opt blur or depth) - example workflow for the original safetensors (this option is very demanding; make sure you have good hardware) ### References - base model from [stabilityai](https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets) - comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI) - gguf node from [city96](https://github.com/city96/ComfyUI-GGUF) - gguf-comfy [pack](https://github.com/calcuis/gguf-comfy/releases)
Source context: 635 downloads · 9 likes · Pipeline text-to-image · Library diffusers · Repo calcuis/sd3.5-large-controlnet
