Instructions to use BigD233333/D2DF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BigD233333/D2DF with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BigD233333/D2DF", torch_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
- Xet hash:
- 55198ef85ffc3c4d2a916827fc755edbc45db7beaebf85f3b00087c954315412
- Size of remote file:
- 4.99 GB
- SHA256:
- 7fc71e9ee3f3dfa62f735257dfef4465794fe16d4014bdd0958498fd9a7093fb
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