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:
- c1ecf4201f16e5eb6a38893dcd684cd4e76c9af6144cd074d57630020dc203a6
- Size of remote file:
- 4.91 GB
- SHA256:
- 9664fe87cabe8659a5ed1821311f81c952d8a6b17e6b2cd8d0f4a0c6441ea443
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