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-13500/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-13500/pytorch_model.bin
- Command line
-
hf download hf://hiddenbox/poodle_4/checkpoint-13500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-13500/pytorch_model.bin
3.28 MB
- Xet hash:
- 07998351ff5916d92df332224e6dc3bd38c2325afe07c4231eecf37367f225d2
- Size of remote file:
- 3.28 MB
- SHA256:
- 2e5578a9f0e26650947ae81d6b2e911ff6d623c418eefcee5d3ff4ecc5ccebdb
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