Instructions to use lseancs/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lseancs/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lseancs/models-moved", 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:
- 8a26ddf53d6eb736727eaddbafd85c0d7defd0b04c820f2cae736de0500b66e3
- Size of remote file:
- 457 MB
- SHA256:
- acaa2e1e9eda0ffc3efe74ba98cf7b8160582ef482cce3d47d69b987ce6a63c5
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