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:
- 4680ed58ffdb41cc9ca0854f3e1ef98971468dfb84752ffa9bff06679b64f998
- Size of remote file:
- 502 kB
- SHA256:
- 5a00e93f26189f06248e746e4b4eda3b6e7b4d99044330e7279fd9a95c881c58
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