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:
- 5c7db746598a0d94db3fdc33b09fcf62ee5fd5be624ed852acecdfb97cb4d554
- Size of remote file:
- 4.91 GB
- SHA256:
- 23c7e9aae8b6bf6df2c222c2a5de449e7a6bb00e42c9856097980903be321819
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