Image-to-Image
Diffusers
Safetensors
MageFlowPipeline
image-editing
instruction-based-editing
diffusion
rectified-flow
mage-flow
Instructions to use arifqai/Mage-Flow-Edit-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arifqai/Mage-Flow-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("arifqai/Mage-Flow-Edit-Turbo", torch_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
File size: 169 Bytes
8b47fff | 1 2 3 4 5 6 7 8 | {
"_class_name": "FlowMatchEulerDiscreteScheduler",
"_diffusers_version": "0.37.0",
"num_train_timesteps": 1000,
"use_dynamic_shifting": false,
"shift": 6.0
}
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