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
feat: pin SD-1.5 end-to-end generation trajectory (#1163)
Browse files- step_3_latent_after.bin +3 -0
step_3_latent_after.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b4544473d67693fffa2d1f61225458c6e6d35fe77596c7e93563ba794d5e487
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size 65556
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