Image-to-Image
Diffusers
GGUF
English
Chinese
image-editing
consistency
aesthetics
DiT
Qwen-Image
ValiantCat
Instructions to use joyfox/Qwen-Image-Edit-MeiTu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joyfox/Qwen-Image-Edit-MeiTu 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("joyfox/Qwen-Image-Edit-MeiTu", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -116,8 +116,6 @@ If you use this model, please cite:
|
|
| 116 |
title = {Qwen-Edit+: Scaling Image Editing with VLM-Guided Consistency and Aesthetic Preference Distillation},
|
| 117 |
journal = {Research Square},
|
| 118 |
year = {2026},
|
| 119 |
-
month = apr,
|
| 120 |
-
day = {08},
|
| 121 |
doi = {10.21203/rs.3.rs-9352857/v1},
|
| 122 |
url = {https://doi.org/10.21203/rs.3.rs-9352857/v1}
|
| 123 |
}
|
|
|
|
| 116 |
title = {Qwen-Edit+: Scaling Image Editing with VLM-Guided Consistency and Aesthetic Preference Distillation},
|
| 117 |
journal = {Research Square},
|
| 118 |
year = {2026},
|
|
|
|
|
|
|
| 119 |
doi = {10.21203/rs.3.rs-9352857/v1},
|
| 120 |
url = {https://doi.org/10.21203/rs.3.rs-9352857/v1}
|
| 121 |
}
|