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:
- 3f0b22704b4b1f6d061be0d2402b2fb3ec4deed32409fd3c079aaff6345cc38c
- Size of remote file:
- 6.59 MB
- SHA256:
- 8160e7aa98d984573363fbfbd5d0d5f6162bf97bd7c342bfe8413524987879af
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