Instructions to use wangjian21/KM_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_10 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_10") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- c99d8e93a11963c241c152f6e6e3353db9d2dcabcf0b1073e42aab232c7f3fc6
- Size of remote file:
- 6.59 MB
- SHA256:
- 9ec535320179e7f8aadf54378495f32b0b2704042509d54a67738371577e5592
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