Instructions to use hiddenbox/dogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/dogs 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("hiddenbox/dogs") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2c02609d345c6108eca03cbe40108d42ed726b13f1413f008273fd8d0ccb7273
- Size of remote file:
- 6.53 MB
- SHA256:
- 21ec3288a82718c62c8b79c2202e980ccd6ebf1bbc55d3f564d945b8d8230d7b
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