Instructions to use tarn59/extract_texture_qwen_image_edit_2511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarn59/extract_texture_qwen_image_edit_2511 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tarn59/extract_texture_qwen_image_edit_2511") prompt = "Extract texture from dress into flattened texture." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
extract texture lora
.png)
- Prompt
- Extract texture from dress into flattened texture.
.webp)
- Prompt
- Extract texture from dress into flattened texture.
Model description
Trained on the same dataset as 2509 version.
Trigger words
You should use Extract texture from {object} into flattened texture. to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for tarn59/extract_texture_qwen_image_edit_2511
Base model
Qwen/Qwen-Image-Edit-2511