Instructions to use Akuxcw/toy_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akuxcw/toy_dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Akuxcw/toy_dog") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e21613292cec1d71ef906a9e1750caf7fe106ea9c2b2af1ef9c3fe8f7de455ea
- Size of remote file:
- 6.59 MB
- SHA256:
- fa401dcf097d738c8dc20a00cc78ae4da17edf72b3f1b6a5421965b5401102bf
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