Instructions to use cavargas10/sdxl-vae-fp16-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cavargas10/sdxl-vae-fp16-fix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cavargas10/sdxl-vae-fp16-fix", 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

- Xet hash:
- e8ae6028e31b1b2b02327d682171101b38f38a76ac648d951c9696323e2244bb
- Size of remote file:
- 269 kB
- SHA256:
- 6cad181b4468c7abeeb3975760770abff2a303a4ac37ed3fdeb53fd7cfe02d28
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