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:
- 38ae03c3fcb602fc4dbe9d2632f24414105e4db219530d4f65287a07ce8dab43
- Size of remote file:
- 2.41 MB
- SHA256:
- 71ca5f77befffa10a2ef6d4b69f8bb721e7ebd7ea03538e2c359dc44f526b0e8
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