Instructions to use wangjian21/KM_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_2 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_2") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c30f8d1a64abc56e45a87c03948877ce3f93254d61cd470ae5bb4bdc662b3663
- Size of remote file:
- 6.59 MB
- SHA256:
- 35bab2a94808ea8acd0ce1ad95cd343696c1104124d0751c1bdb12aa597fa35b
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