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
- Xet hash:
- a3dfe0e30eaa9e383ba94e45554fbd03f0bc78d18249ee2aaa6cfeadd9862e7d
- Size of remote file:
- 3.15 MB
- SHA256:
- be3757eb7eb1dd8d3cc12b630134dbd96a70dbd49fdec0c1f423de86006bce61
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