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:
- 02f3e974eecc0f025050eca9db8c5934addb11c4bf0ecd51a2fba39f115f71e6
- Size of remote file:
- 20.7 GB
- SHA256:
- ad8b7ecce1a52c5cac9bb5aa17bdd6827defb35812c390f5aa794de8ba29cc67
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