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-3000/scheduler.bin from hiddenbox/poodle_4: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-3000/scheduler.bin
- Command line
-
hf download hf://hiddenbox/poodle_4/checkpoint-3000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-3000/scheduler.bin
559 Bytes
- Xet hash:
- 403075d09b05d3e51bdc7d4f105b4a537617f37aba6309515d7377a370d35ef4
- Size of remote file:
- 559 Bytes
- SHA256:
- dae1312a0c39dd3ff88e6bd407a66fe77831ec45e2c5368c7eb81024a83bec6e
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