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
- Draw Things
- DiffusionBee

- Xet hash:
- d5890b307a35cae832a869b19a9172a59fc10ba962f4f136743c2c0df09ae580
- Size of remote file:
- 1.1 MB
- SHA256:
- aead6209358143d9913297ebbf10b539005896b2e45d3430596b0dd7c72047a6
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