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
- Xet hash:
- f87402d6221a2ffa61c178a8e86ea0a6f63a929551cdbeaed97fb35be3229e34
- Size of remote file:
- 1 kB
- SHA256:
- 2310f63637c6cf3848fe289e21d70c2e6b3542292bf5c5d51e6dab0afab209f7
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