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-7500/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-7500/optimizer.bin
- Command line
-
hf download hf://hiddenbox/dogs/checkpoint-7500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hiddenbox/dogs/resolve/main/checkpoint-7500/optimizer.bin
6.53 MB
- Xet hash:
- f0aac56349b9bf1c4874a3ef278cbd957b16a24d747a04fbc9664ec61694fdbb
- Size of remote file:
- 6.53 MB
- SHA256:
- 4b3c03d79e2bfccad8d711ccc161fc3d642d40710f4ca085c9534de42734307a
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