Instructions to use nitindominicrai/SD3.5M_AT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitindominicrai/SD3.5M_AT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nitindominicrai/SD3.5M_AT") prompt = "a photo of nbd anthracnose disease in watermelon leaves" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_3.png from nitindominicrai/SD3.5M_AT: direct link, hf CLI and curl.
- Browser
- Download file 1.29 MB
-
https://huggingface.co/nitindominicrai/SD3.5M_AT/resolve/main/image_3.png
- Command line
-
hf download hf://nitindominicrai/SD3.5M_AT/image_3.png
-
curl -L -o image_3.png https://huggingface.co/nitindominicrai/SD3.5M_AT/resolve/main/image_3.png
1.29 MB

- Xet hash:
- 592b01b446c5690d5bfb57e5b0ca844ed70ac4355d94987fd25e1c1e93e19070
- Size of remote file:
- 1.29 MB
- SHA256:
- 33669287c5cf0ce4e14eeba874117375fbe294b3275dc81ff4c04a25c3980398
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