Instructions to use Changg/style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Changg/style 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Changg/style") prompt = "A dog in flat cartoon illustration style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f4f792c133d631a1469935e06c8885f7eee2a7d8f26dcfc6265f090a32894ac8
- Size of remote file:
- 187 MB
- SHA256:
- 73e57514427fdb4ef32ef1dbc2357bb532f079b83e994ac555702738bad11b73
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