Instructions to use 0xJustin/Dungeons-and-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 0xJustin/Dungeons-and-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("0xJustin/Dungeons-and-Diffusion", 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 0xJustin/Dungeons-and-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/0xJustin/Dungeons-and-Diffusion/resolve/refs%2Fpr%2F11/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://0xJustin/Dungeons-and-Diffusion@refs/pr/11/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/0xJustin/Dungeons-and-Diffusion/resolve/refs%2Fpr%2F11/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 1decbaede0fdd35fda9e92b674f580c1a35fed6ccdd8e80d0e1055bbeda0e519
- Size of remote file:
- 335 MB
- SHA256:
- d6054a64890d7fc08725aa67d63a0def34ae19990eb972791887335e68c42d06
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