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 Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from Changg/style: direct link, hf CLI and curl.
- Browser
- Download file 187 MB
-
https://huggingface.co/Changg/style/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://Changg/style/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Changg/style/resolve/main/checkpoint-1000/optimizer.bin
187 MB
- Xet hash:
- 3256e690ae85adfc83dd950f4d808121b85293a336cef2e12580b1ba7994ab20
- Size of remote file:
- 187 MB
- SHA256:
- a9ff9994f1e9b3228e86c97089af90685d245176cb240aaefedc7b50106576ad
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