Instructions to use Yamer-AI/SDXL_Unstable_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yamer-AI/SDXL_Unstable_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yamer-AI/SDXL_Unstable_Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download 00008-906573843.png from Yamer-AI/SDXL_Unstable_Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/Yamer-AI/SDXL_Unstable_Diffusers/resolve/main/00008-906573843.png
- Command line
-
hf download hf://Yamer-AI/SDXL_Unstable_Diffusers/00008-906573843.png
-
curl -L -o 00008-906573843.png https://huggingface.co/Yamer-AI/SDXL_Unstable_Diffusers/resolve/main/00008-906573843.png
4.24 MB

- Xet hash:
- a7c9f683922b6cf0230100f1a22c946e1941ac7b2c0936ebeac6765e43a839f3
- Size of remote file:
- 4.24 MB
- SHA256:
- 19224c35de13b53367f3c3b2acda5054aeb9f41ac34b471dcce214dbb64ff0a5
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