Instructions to use XGGGV/ym1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XGGGV/ym1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("XGGGV/ym1") prompt = "1girl, solo, yangmi, running, sunglasses, schoolyard, soft natural lighting, dutch angle, shot on Canon EOS 5D" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YM

- Prompt
- 1girl, solo, yangmi, running, sunglasses, schoolyard, soft natural lighting, dutch angle, shot on Canon EOS 5D
Model description
建议lora1-1.2
Trigger words
You should use yangmi to trigger the image generation.
Download model
Download them in the Files & versions tab.
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