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
Download pytorch_lora_weights.safetensors from hiddenbox/poodle_3: direct link, hf CLI and curl.
- Browser
- Download file 3.23 MB
-
https://huggingface.co/hiddenbox/poodle_3/resolve/main/pytorch_lora_weights.safetensors
- Command line
-
hf download hf://hiddenbox/poodle_3/pytorch_lora_weights.safetensors
-
curl -L -o pytorch_lora_weights.safetensors https://huggingface.co/hiddenbox/poodle_3/resolve/main/pytorch_lora_weights.safetensors
3.23 MB
- Xet hash:
- b060ce58c12f6ae7616075b73f457b20e96151f697baab267b5c3956b8476ab8
- Size of remote file:
- 3.23 MB
- SHA256:
- 1c59dc497259870e96110dd855225d760f79aca84554c1185cd692936b3a71c6
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