Z-image Base Inpaint

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        "Swap the \"Unet Loader (GGUF)\" node out for a \"Load Diffusion Model\" node if you aren't using a GGUF main model.\n\nIf you're using a GGUF text encoder, swap out the \"Load CLIP\" node for the \"ClipLoader (GGUF)\" node."
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        "## Main Model\n\n[Z-Image Base GGUFs](https://huggingface.co/unsloth/Z-Image-GGUF/tree/main)\n\nGoes in models/diffusion_models\n\nBF16 gguf recommended if you have at least 16 GB VRAM.\n\nQ8 will just barely fit in 8 GB VRAM if you know how to squeeze it.\n\nQ6_K will fit in 8 GB VRAM easily.\n\n## Text Encoder\n\nQwen 3 4b [Normal](https://huggingface.co/Comfy-Org/z_image/tree/main/split_files/text_encoders) | [gguf](https://huggingface.co/Qwen/Qwen3-4B-GGUF/tree/main)\n\nGoes in models/text_encoders\n\nGrab the biggest normal one if you have 10GB+ VRAM, otherwise grab the Q8 GGUF.\n\n## VAE\n\n[Flux 1 VAE](https://huggingface.co/Comfy-Org/z_image/tree/main/split_files/vae)\n\nGoes in models/vae"
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      "title": "What's going on up here?",
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        "Here we're copy-pasting the original image back on top of the new one. VAE encoding degrades images slightly, so doing this keeps the un-edited parts pristine.\n\nIt's very important that we do this using an image blending node that handles mask transparency. This allows us to smoothly blend the original image with the new image using the semi-transparent feathering on the mask. This is all done with the \"LayerUtility ImageBlend\" node.\n\nThe extra nodes below that are checking if you're doing image-to-image, and if so it skips this copy-pasting step. The check works like this: if you don't provide a mask, the mask will default to a 64x64 square. So we check if the mask is size 64, and if it is then we don't do any blending."
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        "The latent noise mask node is how you define inpainting areas for the model.\n\nThe \"Calculate Steps\" node is determining the ideal number of steps for the first ksampler, which for z-image base is 1 step for every 5% denoise. For example, 50% denoise will result in 10 steps, and 100% denoise will result in the maximum 20 steps.\n\nThe \"Convert Denoise\" node is just turning the input denoise value into a float for the ksampler.\n\nNote: those two nodes are actually \"Math Expression\" nodes, which require ComfyUI version 0.16.4"
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      "title": "What's differential diffusion?",
      "properties": {},
      "widgets_values": [
        "Differential diffusion allows the model to partially inpaint based on how transparent the mask is. This means our \"blur\" setting earlier (which feathers the edges of the mask) provides a natural ease-out effect for inpainting, making the results blend in better with the original."
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        "**Seed:**\n> Exactly what it sounds like!\n\n**Denoise Amount:**\n\n> Ranges from 1-100, and represents the denoise setting in the ksampler (which is normally 0-1). This controls how much the original image gets changed.\n\n> If you set it to 100%, it will completely inpaint the masked area.\n\n> If you set it to anything less, such as 50%, it will only *refine* the masked area. Great for fixing broken hands or adding detail to faces.\n\n> Note: the workflow calculates the number of steps it needs to do based on this too. It adds one step for every 5%, so setting this to 100% makes the ksampler do 20 steps.\n\n**Mask Settings:**\n\n> Modifies the mask you've drawn. You can leave the grow setting at 0, but you'll want the \"blur\" setting to be between 5 & 40. Usually 10 is good.\n\n> The blur setting feathers the edges of the mask, which allows the model to *partially* inpaint that area - which makes it blend in better with the original picture. Bump it up higher if the seams are visible, but be aware that going higher can make it hard to control your mask boundaries.\n\n> The invert_mask setting flips the mask inside out. When \"false\", the model inpaints *inside* the masked area where you've drawn. When \"true\", it instead inpaints *outside* the masked area where you've drawn.\n\n> If you don't provide a mask, setting invert_mask to \"true\" will refine the whole picture at once, exactly the same as an image-to-image gen.\n\n**CFG:**\n\n> You'll usually want the CFG to be 4.0, but feel free to set it as high as 7.0 if it helps.\n\n**Scheduler:**\n\nIt's over in the ClownsharKSampler. Beta and Normal are both good; Beta gives noisier outputs, while Normal is a bit smoother."
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