Instructions to use ferrotorch/sd-v1-5-generation-trajectory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ferrotorch/sd-v1-5-generation-trajectory with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ferrotorch/sd-v1-5-generation-trajectory", 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 bundle.tar from ferrotorch/sd-v1-5-generation-trajectory: direct link, hf CLI and curl.
- Browser
- Download file 4.78 MB
-
https://huggingface.co/ferrotorch/sd-v1-5-generation-trajectory/resolve/main/bundle.tar
- Command line
-
hf download hf://ferrotorch/sd-v1-5-generation-trajectory/bundle.tar
-
curl -L -o bundle.tar https://huggingface.co/ferrotorch/sd-v1-5-generation-trajectory/resolve/main/bundle.tar
4.78 MB
- Xet hash:
- 22e1f02a5652be8a5948bb6b7914fb78533fe7f9bbd412669a90c5bfc0dd5159
- Size of remote file:
- 4.78 MB
- SHA256:
- 5fa7bd809e3aaa120a79c744801de44342a2e22ab82137cd5fe0d43302924c6e
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