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Updated SDXL (markdown)

cmdr2 2023-07-30 11:21:57 +05:30
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SDXL.md

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SDXL offers two models. You can use whichever one you prefer. SDXL offers two models. You can use whichever one you prefer.
Steps:
1. Please enable beta and diffusers: https://github.com/easydiffusion/easydiffusion/wiki/The-beta-channel#test-diffusers-in-beta
2. Download whichever SDXL model you want:
* Base model (works for text-to-image, image-to-image, and inpainting): https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors * Base model (works for text-to-image, image-to-image, and inpainting): https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors
* Refiner model (image-to-image only): https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors * Refiner model (image-to-image only): https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors
3. Save the model to the `models/stable-diffusion` folder.
Save the model to the `models/stable-diffusion` folder. Finally, in the Easy Diffusion UI, click the "refresh" icon next to the Models dropdown, and select the downloaded model and generate the image.
Then in the Easy Diffusion UI, click the "refresh" icon next to the Models dropdown, and select the downloaded model and generate the image. **Tip:** If you get "Out of Memory" errors, try setting the `VRAM Usage Level` setting to `"low"` in the Settings tab, and press `Save`.
Tip: If you get "Out of Memory" errors, try setting the `VRAM Usage Level` setting to `"low"` in the Settings tab, and press `Save`.