Instructions to use nakayama/DeDeDe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nakayama/DeDeDe 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/DeDeDe", 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 vae/diffusion_pytorch_model.bin from nakayama/DeDeDe: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/nakayama/DeDeDe/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://nakayama/DeDeDe/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/nakayama/DeDeDe/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 92a92ab793d744efadd0ed2265a6d364e42fa392b69277054c0ec361e9ed3a00
- Size of remote file:
- 335 MB
- SHA256:
- 12ae10a7ee385432d0e198816bd069702b2467f51e6daaf20aa8caffa87ae395
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