Instructions to use ntk1507/UFC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ntk1507/UFC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ntk1507/UFC", 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 MVRD/d28_lambda0.5_fullft_aug2/training_args.bin from ntk1507/UFC: direct link, hf CLI and curl.
- Browser
- Download file 8.15 kB
-
https://huggingface.co/ntk1507/UFC/resolve/main/MVRD/d28_lambda0.5_fullft_aug2/training_args.bin
- Command line
-
hf download hf://ntk1507/UFC/MVRD/d28_lambda0.5_fullft_aug2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ntk1507/UFC/resolve/main/MVRD/d28_lambda0.5_fullft_aug2/training_args.bin
8.15 kB
- Xet hash:
- 6965b287a64ca7f818dda1c5766190a0cf2054938f359ce6aa7fd9741f23c390
- Size of remote file:
- 8.15 kB
- SHA256:
- 2b2bf09ee7b3e1333f12ee998948a93c48dff4793c0989a52295596e1c9ecf84
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