Instructions to use b-f/ContinuitySeq-A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use b-f/ContinuitySeq-A with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("b-f/ContinuitySeq-A", 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
Download vae/diffusion_pytorch_model.bin from b-f/ContinuitySeq-A: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/b-f/ContinuitySeq-A/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://b-f/ContinuitySeq-A/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/b-f/ContinuitySeq-A/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 06f7d0c67e2b1cdd206e03e68059e5c807dd91744f3ff838cab8b45fccaf587a
- Size of remote file:
- 335 MB
- SHA256:
- a3cf5811cedc1bee3ac8fdca98ac6d2286d573a1101ded4afdfacd07a13bfb31
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