Instructions to use wangjian21/KM_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_16 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_16") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c0ae64118ba7db9725c9d2bb0dbff16463d932467c80e54c3bba7bb862cd8ed5
- Size of remote file:
- 6.59 MB
- SHA256:
- 8542a65eb91f93249db5dc3c007573815e85a9faf3735ab9ffb0d0594ec6ec7e
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