Instructions to use hiddenbox/poodle_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/poodle_4 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/poodle_4") 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-3500/pytorch_model.bin from hiddenbox/poodle_4: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-3500/pytorch_model.bin
- Command line
-
hf download hf://hiddenbox/poodle_4/checkpoint-3500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-3500/pytorch_model.bin
3.28 MB
- Xet hash:
- 284c1e1156eea8d78271ea973b568df8e61197ea4a6b43aa2379ca96d82b699c
- Size of remote file:
- 3.28 MB
- SHA256:
- 8adba7cb3c9f6bd4e567e079d1656f01d79b5afad0b40a484aaded275a202061
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