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

- Xet hash:
- 95bf3d49a6a934c37cbd0e7ed6356bec2ecc6c31da7f49ad054bf19277280d41
- Size of remote file:
- 3.44 MB
- SHA256:
- 77207d09e6c489781424c9e5b756d1b2949eda24c34c431d803c79101cc4ef78
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