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:
- 57057c968a28f9e1c08e10311dfdf2c238d8795727ff6c7f488d24a1491f3f56
- Size of remote file:
- 1.82 MB
- SHA256:
- d85d15bd51b3fa162f2b020ccac5a64b10ced728c6f22dcba183dc65ab6e8b5a
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