Instructions to use nakayama/DeDeDeP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nakayama/DeDeDeP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nakayama/DeDeDeP", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from nakayama/DeDeDeP: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/nakayama/DeDeDeP/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://nakayama/DeDeDeP/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nakayama/DeDeDeP/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- df2814261d779259c58b5df7574eed8d8030a414b02d6228f777ba3977021630
- Size of remote file:
- 492 MB
- SHA256:
- ebe674a682370d3deff211c73135691edb29015a92366d6492a0b7adec5b2c20
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