Instructions to use apa224/scan42_unc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use apa224/scan42_unc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("apa224/scan42_unc", 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
- Xet hash:
- 0ebf82320ad16743015814d4103595dee0d5f0595222ca6ef85571dc0e642851
- Size of remote file:
- 910 MB
- SHA256:
- 157088cc2183aac3d138545e7a8854233244b75d4fdac4474e6d22ffdd4dd3b6
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