Instructions to use Boogu/Boogu-Image-0.1-Edit-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Edit-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Edit-Turbo", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download scheduler/scheduler_config.json from Boogu/Boogu-Image-0.1-Edit-Turbo: direct link, hf CLI and curl.
- Browser
- Download file 221 Bytes
-
https://huggingface.co/Boogu/Boogu-Image-0.1-Edit-Turbo/resolve/hotfix-1k5-20260708/scheduler/scheduler_config.json
- Command line
-
hf download hf://Boogu/Boogu-Image-0.1-Edit-Turbo@hotfix-1k5-20260708/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/Boogu/Boogu-Image-0.1-Edit-Turbo/resolve/hotfix-1k5-20260708/scheduler/scheduler_config.json
221 Bytes
| { | |
| "_class_name": "FlowMatchEulerDiscreteScheduler", | |
| "_diffusers_version": "0.33.1", | |
| "do_shift": true, | |
| "dynamic_time_shift": false, | |
| "time_shift_version": "v1", | |
| "seq_len": 4096, | |
| "num_train_timesteps": 1000 | |
| } | |