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Features.md

@ -5,35 +5,42 @@ All examples are non-cherrypicked unless specified otherwise.
# SD-XL
## SD-XL BASE
[PR](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/11757), [Github](https://github.com/Stability-AI/generative-models).
[[PR]](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/11757) | [[Stability-AI Github]](https://github.com/Stability-AI/generative-models)
### Info
This is a txt2img model designed for generating quality 1024×1024-sized images. It is not meant to generate good pictures at 512×512.
This is a model designed for generating quality 1024×1024-sized images. It is not meant to generate good pictures at 512×512.
It's tested to produce same (or very close) images as Stability-AI's repo (need to set Random number generator source = CPU in settings)
![img](https://user-images.githubusercontent.com/20920490/253218112-c7c02951-0c1c-47f8-98a4-4fbdcb028712.png)
```
- textual inversion should not work, embeddings need to be created specifically for SDXL.
- train tab will not work.
- DDIM, PLMS, UniPC samplers do not work for SDXL
```
- `--lowvram`, `--medvram` works
```
- --lowvram, --medvram works
- attention optimizations work
- SDXL Loras work
- works at minimum 4gb gpu (30XX) (use --lowvram --xformers for max of 1280×1280)
- works at minimum 4gb gpu (30XX)
```
>NOTE: Initial loading of these models require those with 24gb cpu memory (RAM) and under to setup a large pagefile. This may change in the future.
### Downloading:
- https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors
1. [sd_xl_base_1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors)
>The base model's VAE has problems running in fp16. [madebyollin](https://github.com/madebyollin) has kindly trained a vae to mostly remedy this:
- https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors
2. [sdxl-vae-fp16-fix](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl_vae.safetensors)
(Please use both of these to avoid performance issues.)
(Please use both of these to avoid slow speeds, and GPU out-of-vram issues.)
# SD2 Variation Models