Instructions to use dyllanesl/ASL_Diffusion_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dyllanesl/ASL_Diffusion_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("dyllanesl/ASL_Diffusion_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
- Xet hash:
- 219953b23e5fc262f48b653ab232680a9ea41f5d7f1796827c740f52fa85f82a
- Size of remote file:
- 143 MB
- SHA256:
- fa2f46b568d0d64a9b0593d1b0dca977ebe8db6afeb61d6937dd0dcbbb851571
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