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:
- 54b553f3bd07c7705022d163c94200fbbd3a6700f1b538888000d014f7eb0323
- Size of remote file:
- 2.17 MB
- SHA256:
- 849b877a80752b4578afc2ece4ea0726768809298ee9a38284ba4e159d0a817c
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