Instructions to use hjgp/sorim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/sorim with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/sorim", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dde9662780a9a82d06d46d16ea4cf3d2715e3825d6fba7153e7a7606aebdf53b
- Size of remote file:
- 492 MB
- SHA256:
- 88d98816360b5be4b24e2ee0b2d133eacbf89cca8646278542cc9b51c6a21a2d
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