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
- Draw Things
- DiffusionBee
- Xet hash:
- fd7db291757fc8485bc1a86d4782848da227ed3ca10c4546db2bc58cf0e2f546
- Size of remote file:
- 13 MB
- SHA256:
- 903214ac657283e0a31de717d8a46e9ec17fea4ddb2b306333c3d8912a276b4d
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