Instructions to use hiddenbox/poodle_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hiddenbox/poodle_3 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_3") 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
- Xet hash:
- 0b384855bb8d7d9558ddf4dd242a5cb36af31115124501fcfb830f47ec7466d4
- Size of remote file:
- 6.53 MB
- SHA256:
- dd5a6bd6ae7805b9fba0d4437d59d4f3ea402fc950d108d86a08d6eaa56b73c7
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