nodes/GiusTex-ComfyUI-DiffusersImageOutpaint
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clip models suggested

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GiusTex
2024-11-16 23:06:39 +01:00
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@@ -27,6 +27,7 @@ ComfyUI nodes for outpainting images with diffusers, based on [diffusers-image-o
- `model_index.json` ([example](https://huggingface.co/SG161222/RealVisXL_V5.0_Lightning/blob/main/model_index.json))
- controlnet_name:
- `config_promax.json` ([example](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/blob/main/config_promax.json)), `diffusion_pytorch_model_promax.safetensors` ([example](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0/blob/main/diffusion_pytorch_model_promax.safetensors))
- (Dual) Clip Loader node: if you use the Clip Loader instead of Checkpoint Loader Simple, and want to use RealVisXL_V5.0_Lightning, it works with [`clip_I`](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/text_encoder/model.fp16.safetensors) and [`model.fp16`](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/text_encoder_2/model.fp16.safetensors) (from sdxl-base), and `sdxl type`; you can use [this workflow](https://github.com/GiusTex/ComfyUI-DiffusersImageOutpaint/blob/main/Diffusers-Outpaint-Workflow.json).
## Overview
- **Minimum VRAM**: 6 gb with 1280x720 image, rtx 3060, RealVisXL_V5.0_Lightning, sdxl-vae-fp16-fix, controlnet-union-sdxl-promax using `sequential_cpu_offload`, otherwise 8,3 gb;