Instructions to use NexaAIalex/sdxl-vae-fp16-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NexaAIalex/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("NexaAIalex/sdxl-vae-fp16-fix", torch_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:
- 37f5006a83beacb446bd40cf5e3d4ebb16c04180984d365466f225865498b717
- Size of remote file:
- 335 MB
- SHA256:
- 4b97de925966b75ea8d10e9a108114b2879a4a129770a5268e817e89f10acf54
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