Instructions to use dinushiTJ/src_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dinushiTJ/src_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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dinushiTJ/src_lora") prompt = "A <SRC> aerial view" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from dinushiTJ/src_lora: direct link, hf CLI and curl.
- Browser
- Download file 213 kB
-
https://huggingface.co/dinushiTJ/src_lora/resolve/main/image_1.png
- Command line
-
hf download hf://dinushiTJ/src_lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/dinushiTJ/src_lora/resolve/main/image_1.png
213 kB

- Xet hash:
- 151c12eb8f88ccdf14b7b9a153f3b296695b269c2906237c7867b23a6e37fb1e
- Size of remote file:
- 213 kB
- SHA256:
- ccef01e3c531b09cf209c3a2bcfbb1eca70530551675e46af284296cc19a4a33
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