Instructions to use anshudaur/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshudaur/path-to-save-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("anshudaur/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ccceab5cde5881e43bc5f31299db1a1a3b84ddf70573fb7d1b2b7213d88bf4e4
- Size of remote file:
- 76.7 MB
- SHA256:
- c8ac6e821751e2204496cac57fea8c67c82a175eabfa744cd59019a0870da330
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