Instructions to use Lsnt/test_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lsnt/test_03 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Lsnt/test_03") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f2767779db3ec71fcdc78dd2e232b4d60948b3ce860f9c6fd012b2c989814dc0
- Size of remote file:
- 557 Bytes
- SHA256:
- efafd90182e3d39d1b7c4a686f86e5913f5abc094dc3e2f827a6d479c6cef247
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