Instructions to use clevrpwn/colab-stash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use clevrpwn/colab-stash with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("clevrpwn/colab-stash", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from clevrpwn/colab-stash: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/clevrpwn/colab-stash/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://clevrpwn/colab-stash/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/clevrpwn/colab-stash/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- a6a948b2fa8ea6ed177a6e07747db84d2bada631ee706fa13796bada99f92993
- Size of remote file:
- 335 MB
- SHA256:
- 5a7957cc7f54c74e174bab7d4fdc75a0607d2808d49b1e9fb1ffc2d53f7c6d4c
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