Instructions to use wangjian21/KM_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangjian21/KM_8 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_8") prompt = "Kelly McKernan's style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c9ec998b0fd4c85d7c5dea69f0aad32c626a3ceadcd614701654a5d890466ac6
- Size of remote file:
- 6.59 MB
- SHA256:
- f3087dd630f501ea7abb46f5539ddbe14bfa9ea9d3f30a16cd2227af81ade700
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