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
Download checkpoint-10500/optimizer.bin from hiddenbox/dogs: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/hiddenbox/dogs/resolve/main/checkpoint-10500/optimizer.bin
- Command line
-
hf download hf://hiddenbox/dogs/checkpoint-10500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hiddenbox/dogs/resolve/main/checkpoint-10500/optimizer.bin
6.53 MB
- Xet hash:
- f35588d0494401ea9c7246050edf5ac21a29fbf087242f90ff8030d6f68baf22
- Size of remote file:
- 6.53 MB
- SHA256:
- c0011e9b70521c5d0f7e328cc03f615f583bfb2a162c1feca1e78bada3ad0d86
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