Instructions to use Jiang-01-dexiang/new-03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jiang-01-dexiang/new-03 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepshika/my-pet-cat-xzw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jiang-01-dexiang/new-03") prompt = "sk" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
zi-ding-yi-01

- Prompt
- sk
- Negative Prompt
- sk
Model description
Trigger words
You should use sk to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Jiang-01-dexiang/new-03
Base model
deepshika/my-pet-cat-xzw