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README.md
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- **High-Speed Inference:** Utilizes Sana1.5's linear attention mechanism for rapid generation.
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- **Multimodal Understanding:** Qwen3-VL ensures strong alignment between visual content and text instructions.
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## Citation
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If you use this model in your research or applications, please acknowledge the original projects:
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- **High-Speed Inference:** Utilizes Sana1.5's linear attention mechanism for rapid generation.
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- **Multimodal Understanding:** Qwen3-VL ensures strong alignment between visual content and text instructions.
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# Inference Requirements
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- `vibe` library
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```bash
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pip install git+https://github.com/ai-forever/VIBE
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```
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- requirements for `vibe` library:
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```bash
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pip install transformers==4.57.1 torchvision==0.21.0 torch==2.6.0 diffusers==0.33.1 loguru==0.7.3
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```
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# Quick start
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```python
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from PIL import Image
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import requests
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from io import BytesIO
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from huggingface_hub import snapshot_download
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from vibe.editor import ImageEditor
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# Download model
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model_path = snapshot_download(
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repo_id="iitolstykh/VIBE-Image-Edit",
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repo_type="model",
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)
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# Load model
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editor = ImageEditor(
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checkpoint_path=model_path,
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image_guidance_scale=1.2,
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guidance_scale=4.5,
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num_inference_steps=20,
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device="cuda:0",
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)
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# Download test image
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resp = requests.get('https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3f58a82a-b4b4-40c3-a318-43f9350fcd02/original=true,quality=90/115610275.jpeg')
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image = Image.open(BytesIO(resp.content))
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# Generate edited image
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edited_image = editor.generate_edited_image(
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instruction="let this case swim in the river",
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conditioning_image=image,
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num_images_per_prompt=1,
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)[0]
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edited_image.save(f"edited_image.jpg", quality=100)
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```
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## Citation
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If you use this model in your research or applications, please acknowledge the original projects:
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