Instructions to use farnad/synth_SW_LF_AC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use farnad/synth_SW_LF_AC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("farnad/synth_SW_LF_AC", 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:
- acbfe937c47ff0f36887ddfd008b2a2920740656d0839e20236c21c415a7498a
- Size of remote file:
- 453 MB
- SHA256:
- 10d6ff47e19930405c796d969975a8a878078364146f715ab268b285ca0e1738
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