Instructions to use raisahil/scunge-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raisahil/scunge-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raisahil/scunge-model", 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:
- 0a056663a3254b687f987bc9766b5af4d3fc862e64e09107728c3d4740c3ea3c
- Size of remote file:
- 4.55 MB
- SHA256:
- 935252e202a3a6cafa476443f3a0ae3ac95cf85c37c0133f4f32af2aafb8f9ab
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