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:
- a1a6410f5f7de86daf5c83132ccddc4a59027bcd30e1f64b7b3dc1a463008e1d
- Size of remote file:
- 6.59 MB
- SHA256:
- ea3ee78f4b0fe8d74f4a81308656895870c5dfbfd4e5b7683973f1dcbe5a1361
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