Instructions to use Mekasiu1018/2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mekasiu1018/2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mekasiu1018/2") prompt = "yjh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ae708e0a5eed9e1fcfffb3ed27da92d53de589520dac75e17db95f8ce903ca17
- Size of remote file:
- 90.5 kB
- SHA256:
- 45cecb0ee3ed295cfd8c50ff7b23def1268529ab9c0e56408b6c79bd2a5687df
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