Instructions to use hhf1/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hhf1/output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hhf1/output", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/optimizer.bin from hhf1/output: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/hhf1/output/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://hhf1/output/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hhf1/output/resolve/main/checkpoint-250/optimizer.bin
457 MB
- Xet hash:
- 6fc87f8aa362392ce0d64be450420dc65f143bb2d11c08b7f410a4bdbf6a6a91
- Size of remote file:
- 457 MB
- SHA256:
- de6f5b4cd628d9331bdbcbf1e719b3ee9539ac0cab18d83680168ead9f5a7536
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