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:
- e13da4529c0bcce6c4b9ebc786cfbe290178d23e9c88dd0af9746bbf81433fb8
- Size of remote file:
- 480 kB
- SHA256:
- e7adb21946b2766998a4c415837e85d5f1d2e15e7150e354c6b743ad17f1f280
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