Instructions to use callmeeric5/stable_diffusion.vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callmeeric5/stable_diffusion.vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callmeeric5/stable_diffusion.vae", 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
File size: 108 Bytes
96cf5ae | 1 2 3 4 5 6 7 8 | {
"architectures": [
"VAEModel"
],
"torch_dtype": "float32",
"transformers_version": "4.26.1"
}
|