Instructions to use ssbtech/models-part3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ssbtech/models-part3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ssbtech/models-part3", 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:
- ba58401fa03ca20db0090eb739e1742a4f8fdde1a886ff06481038c42856127d
- Size of remote file:
- 5.68 GB
- SHA256:
- 96b6b242ca1c2f24e9d02cd6596066fab6d310e2d7538f33ae267cb18d957e8f
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