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

- Xet hash:
- 13e0d70b29247d82412e7a02a547198106a3852c816a480caa9aa5214ae028bb
- Size of remote file:
- 3.74 MB
- SHA256:
- e86aa0cae958b0fc2cc5f5c86ba6d1e05734ee024b866ff8ffd76e5c45823c98
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