Instructions to use yanguanyue/DFTA-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yanguanyue/DFTA-baselines with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yanguanyue/DFTA-baselines", 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 backup_scope.json from yanguanyue/DFTA-baselines: direct link, hf CLI and curl.
- Browser
- Download file 7.9 kB
-
https://huggingface.co/yanguanyue/DFTA-baselines/resolve/main/backup_scope.json
- Command line
-
hf download hf://yanguanyue/DFTA-baselines/backup_scope.json
-
curl -L -o backup_scope.json https://huggingface.co/yanguanyue/DFTA-baselines/resolve/main/backup_scope.json
7.9 kB
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