Instructions to use wangjian21/KM_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_12 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("wangjian21/KM_12") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f9505f579bd1d8c635ee39263251c03714944e2798eeb73bff1117bd643c8fd3
- Size of remote file:
- 6.59 MB
- SHA256:
- 6cea2815c92cd629f7eb03f1d699188cceeda0fcd5b444af7b2c64173d57dd5a
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