Instructions to use RonenWeiz/encdec_debug_model_ide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RonenWeiz/encdec_debug_model_ide with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RonenWeiz/encdec_debug_model_ide", 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:
- 1ec87bf4487ebe092628458fa2f4e3e44f893e35eb626483554b1cc70430438e
- Size of remote file:
- 6.93 GB
- SHA256:
- b08bbf0d86a33c46f2535ffef4a5e3e6bab256b0c646e85772889ca42d2707ce
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