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 Unstable Diffuser from Yamer-AI/SDXL_Unstable_Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 26 Bytes
-
https://huggingface.co/Yamer-AI/SDXL_Unstable_Diffusers/resolve/main/Unstable%20Diffuser
- Command line
-
hf download 'hf://Yamer-AI/SDXL_Unstable_Diffusers/Unstable Diffuser'
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curl -L -o 'Unstable Diffuser' https://huggingface.co/Yamer-AI/SDXL_Unstable_Diffusers/resolve/main/Unstable%20Diffuser
26 Bytes
| license: openrail | |