Instructions to use xttbb/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xttbb/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("xttbb/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:
- 0eecce023846df3024034da14113ff23a6c05dd1d3fdf40df7f571925b77e7c0
- Size of remote file:
- 76.7 MB
- SHA256:
- 87025e3d901d2ce7e36396f3f64f856beda0bf148556d8a29fcf680b33d2965d
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