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@@ -44,7 +44,7 @@ The extension gives 4 nodes:
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- **Encode Diffusers Outpaint Prompt**: self explanatory. Works as `clip text encode (prompt)`, and specifies what to add to the image;
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- **Diffusers Image Outpaint**: This is the main node, that outpaints the image. Currently the generation process is based on fffiloni's one, so you can't reproduce a specific a specific outpaint, and the `seed` option you see is only used to update the UI and generate a new image. You can specify the amount of `steps` to generate the image.
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- You can also pass image and mask to `vae encode (for inpainting)` node, then pass the latent to a `sampler`, but controlnets and ip-adapters are harder to use compared to diffusers outpaint.
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You _can_ also pass image and mask to `vae encode (for inpainting)` node, then pass the latent to a `sampler`, but controlnets and ip-adapters won't always give good results like with diffusers outpaint, and they require a different workflow, not covered by this extension.
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### Change model used
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- **Main model**: On huggingface, choose a model from [text2image models](https://huggingface.co/models?pipeline_tag=text-to-image&sort=trending), then create a new folder named after it in `comfyui/models/diffusion_models`, then download in it the subfolders `unet` (if not available use `transformer`) and `scheduler`.
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