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 text_encoder/pytorch_model.bin from clevrpwn/colab-stash: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/clevrpwn/colab-stash/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://clevrpwn/colab-stash/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/clevrpwn/colab-stash/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8a4de4c81fa84e8202d9645f54425be9a0ab0abef772aee00497777bccfa0dd6
- Size of remote file:
- 492 MB
- SHA256:
- 8b037fb0ef08c999a8fdcc0aa61515e8799dbee60678559be194d1db17cbd9b6
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