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", torch_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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 40e2dd8a84eba1e2d537703340727518eb4cfb849e30a31f685c1fcfd23e1367
- Size of remote file:
- 538 kB
- SHA256:
- ee5d38959f84743f631807d01f0ce3537cb11ebe7b83e4763d4a609a6f474fdf
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