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-11000/scaler.pt from hiddenbox/poodle_4: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-11000/scaler.pt
- Command line
-
hf download hf://hiddenbox/poodle_4/checkpoint-11000/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/hiddenbox/poodle_4/resolve/main/checkpoint-11000/scaler.pt
559 Bytes
- Xet hash:
- 4a094be309bdfcb21ab27fd8fc0de7f23f0b4ad97d3cc54cee586dd19a2ad037
- Size of remote file:
- 559 Bytes
- SHA256:
- 65e642128ad4cadc3d2b4562be14a7974d2bfa288ddfbff778345657fb9080e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.