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
- Draw Things
- DiffusionBee
- Xet hash:
- b56aa8f4e1e47a53ec27c8336dc5101b84df4818045643ccf333bd1e00752c26
- Size of remote file:
- 76.7 MB
- SHA256:
- dfc09a3ded4a4f72d3ab954c2a45ba209d8e248f573cdf41c71970fa1e6b57f9
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