Instructions to use CalypsoCrunchies99/vae-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalypsoCrunchies99/vae-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("CalypsoCrunchies99/vae-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
Download protogenvae/diffusion_pytorch_model (1).bin from CalypsoCrunchies99/vae-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/CalypsoCrunchies99/vae-diffusers/resolve/main/protogenvae/diffusion_pytorch_model%20(1).bin
- Command line
-
hf download 'hf://CalypsoCrunchies99/vae-diffusers/protogenvae/diffusion_pytorch_model (1).bin'
-
curl -L -o 'diffusion_pytorch_model (1).bin' 'https://huggingface.co/CalypsoCrunchies99/vae-diffusers/resolve/main/protogenvae/diffusion_pytorch_model%20(1).bin'
335 MB
- Xet hash:
- 2cd5abfe926da5f8fc87380a99d3a770afcc9d76ab17ad4846db7c433b052371
- Size of remote file:
- 335 MB
- SHA256:
- 183a70714946db0a422cecb501dad53c158fac67a591052f196e08d53c523f6d
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