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:
- a88257b2693356ddf227fd52ccf93696a697a4867e78171d2dcda6489d3cab27
- Size of remote file:
- 20.7 GB
- SHA256:
- eb613cf1573c05bef7a67168c7f5a00c43dccd1157c9686b0671241ab517d437
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