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
- Xet hash:
- 8a59bb43468f14fa4ebc745efaf08caba0a88cfc92ec60ba70c57420f0ad89d1
- Size of remote file:
- 335 MB
- SHA256:
- 830ec70a1edad10e954081da457a10ced05d6260d439e06be7c8635d003fc88f
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