Instructions to use shrimantasatpati/lora-trained-xl-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shrimantasatpati/lora-trained-xl-colab 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("shrimantasatpati/lora-trained-xl-colab") prompt = "a photo of WARLI painting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from shrimantasatpati/lora-trained-xl-colab: direct link, hf CLI and curl.
- Browser
- Download file 1.48 MB
-
https://huggingface.co/shrimantasatpati/lora-trained-xl-colab/resolve/main/image_1.png
- Command line
-
hf download hf://shrimantasatpati/lora-trained-xl-colab/image_1.png
-
curl -L -o image_1.png https://huggingface.co/shrimantasatpati/lora-trained-xl-colab/resolve/main/image_1.png
1.48 MB

- Xet hash:
- 1336bafcb3cdf24e11a33b1c04e1420e54dc54e1f787fe60972cefbf6a1cb10f
- Size of remote file:
- 1.48 MB
- SHA256:
- dafc403c970918422fa750f327d73a77c1892a18d2f689351fdb70cf9916a530
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