Instructions to use ainjarts/graycat_sd3_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ainjarts/graycat_sd3_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ainjarts/graycat_sd3_lora", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of ohwx cat sitting on the wooden floor in the studio with gray background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- aa67db6235c3c65133d066a471b31a5378bb348fdb0c8287048528a391ae2259
- Size of remote file:
- 9.6 MB
- SHA256:
- 80916d6554b662d8b0495143697312e80cd7dc02c407bcb0aab26ec8d637c97e
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