Instructions to use SidXXD/dog8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/dog8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/dog8", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/dog8: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/dog8/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/dog8/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/dog8/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 8828077992c356c1599043b286de5bbd08d63e9707c7bfc39f5d1fed9f8f8d87
- Size of remote file:
- 76.7 MB
- SHA256:
- 86ad9717f08357df11d05faffcc0f17aee437e682c72945690a13b83e8492769
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