Instructions to use diffusers-test/test5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test5", 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 diffusers-test/test5: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/diffusers-test/test5/resolve/ffb7c4993ff474afbbd01a874317efb21856229c/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://diffusers-test/test5@ffb7c4993ff474afbbd01a874317efb21856229c/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/diffusers-test/test5/resolve/ffb7c4993ff474afbbd01a874317efb21856229c/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 4f77309d0ddcdb1b40883985167d695a4b6341168293caa92efbf72ab83852d2
- Size of remote file:
- 246 MB
- SHA256:
- aa119ac636912af456b51b0eea727c892ca1057a82a5ca6a884f24d6965245c0
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