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
Download image_1.png from ainjarts/graycat_sd3_lora: direct link, hf CLI and curl.
- Browser
- Download file 1.15 MB
-
https://huggingface.co/ainjarts/graycat_sd3_lora/resolve/main/image_1.png
- Command line
-
hf download hf://ainjarts/graycat_sd3_lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/ainjarts/graycat_sd3_lora/resolve/main/image_1.png
1.15 MB

- Xet hash:
- 64d5d2f900074ae6f661ae9276da7410a006bc9fa014b83367f793ef43b86f28
- Size of remote file:
- 1.15 MB
- SHA256:
- 17d172ef290cf0ff9b1316223231021ba787ab2be0b3cf60cc46e65bb5084a9e
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