Instructions to use tonyassi/luc7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonyassi/luc7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonyassi/luc7", 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 checkpoint-1000/optimizer.bin from tonyassi/luc7: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/tonyassi/luc7/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://tonyassi/luc7/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tonyassi/luc7/resolve/main/checkpoint-1000/optimizer.bin
910 MB
- Xet hash:
- 6f7cfc46d919856fb52794124895553e3060df4be5c49f04a31513758bca6c9c
- Size of remote file:
- 910 MB
- SHA256:
- 06d04ad7f90781a8726dac09164000e080744fd95b4f2ca3c169e5800d08b18c
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