Instructions to use gueraf/Self-Forcing-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gueraf/Self-Forcing-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gueraf/Self-Forcing-diffusers", 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 diffusion_pytorch_model.safetensors from gueraf/Self-Forcing-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 5.68 GB
-
https://huggingface.co/gueraf/Self-Forcing-diffusers/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://gueraf/Self-Forcing-diffusers/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/gueraf/Self-Forcing-diffusers/resolve/main/diffusion_pytorch_model.safetensors
5.68 GB
- Xet hash:
- 3575d2df7cc140e43718eb02fb616fbeb7ebf5ce1517331283d3100fe3dfeb2a
- Size of remote file:
- 5.68 GB
- SHA256:
- f1ed5f364d8a282239cf47fd1c1072ebb16d62092e616203f0b55418cd5c0b2f
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