🤖 image-to-image

Qwen-Image-Edit-2511-Multiple-Angles-LoRA

fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA

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diffusers
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Model Details
Full Model IDfal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA
Pipeline / Taskimage-to-image
Librarydiffusers
Downloads (all-time)53.9K
Likes1.4K
Last Modified1/7/2026
Author / Orgfal
PrivateNo � public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("image-to-image", model="fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA")

# Run inference
result = pipe("Your input here")
print(result)
����� Tags
diffusersqwenqwen-image-editqwen-image-edit-2511loramulti-anglecamera-anglescamera-controlimage-editingimage-to-imagegaussian-splattingfalenbase_model:Qwen/Qwen-Image-Edit-2511base_model:adapter:Qwen/Qwen-Image-Edit-2511license:apache-2.0region:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗�� Browse All Models
🤖 Task: image-to-image

This model is designed for the image-to-image task. Explore more models for this use case.

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📊 Popularity
Downloads53.9K
����� Community Likes1.4K
🛠�� Requirements
  • Install: pip install diffusers
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?