Instructions to use Changg/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Changg/content 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/content") prompt = "A monadikos stuffed animal floating in the river" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d1c780278c82e6300634006d319cb20eda71274b1ae4adb83f356ca5786b374e
- Size of remote file:
- 187 MB
- SHA256:
- 05be9840e4550413a9a1f7d09239dde5526f8fe3ae9e8d5886dbaf17815f9793
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