fal/flux-2-klein-4B-zoom-lora

Prompt

Zoom into the red highlighted area

Prompt

Zoom into the red highlighted area

Prompt

Zoom into the red highlighted area

Prompt

Zoom into the red highlighted area

🔍 Flux Red Zoom LoRA

Zoom and enhance red-highlighted regions of images

---

🎯 What does this model do?

This LoRA zooms into red-highlighted areas of images and generates an enlarged, detailed view. Simply mark the region you want to focus on with red, and the model will zoom and enhance it.

┌─────────────────────────────────────┐
│                                     │
│     ┌───────┐                       │
│     │ 🔴RED │  ──────────────►      │  Zoomed &
│     │  AREA │                       │  Enhanced
│     └───────┘                       │
│                                     │
└─────────────────────────────────────┘

Perfect for detail extraction, region focus, and image enhancement.

---

🖼️ Examples

Input (with red highlight)	Output (zoomed region)

---

🚀 Quick Start

Prompt

Zoom into the red highlighted area

Red Highlight Requirements

• Use red color to mark the area of interest
• The highlight should clearly indicate the zoom region
• Works best with rectangular or clearly defined areas

---

💻 Usage

Try it Live on fal.ai

▶️ Open Playground

With fal.ai SDK

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/flux-2/klein/4b/base/edit/lora",
    arguments={
        "prompt": "Zoom into the red highlighted area",
        "model_name": None,
        "loras": [{
            "path": "https://huggingface.co/fal/flux-2-klein-4B-zoom-lora/resolve/main/flux-red-zoom-lora.safetensors",
            "scale": 1.1
        }],
        "embeddings": [],
        "image_urls": ["https://your-image-with-red-highlight.png"]
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

---

📦 Model Files

File	Use Case
flux-red-zoom-lora.safetensors	fal.ai
aoqt0fLF25ymtU3S6pxrB_pytorch_lora_weights_comfy_converted.safetensors	ComfyUI

---

🎓 Training Details

Click to expand

Dataset

• Size: 86 image pairs
• Content: Diverse images with zoom regions including:
  • Landscapes: nature details, architectural elements
  • Objects: product details, textures
  • People: facial features, accessories
  • Art: painting details, patterns
• Red highlight: Consistent red markers for zoom regions
• Aspect ratios: Various (1:1, 16:9, 9:16, 4:3, 3:4, etc.)

Training

• Base Model: FLUX.2-Klein 4B
• Platform: fal.ai
• Method: LoRA training
• Steps: 4000
• Learning Rate: 0.00005

---

🎮 Use Cases

• Detail Extraction: Focus on specific parts of complex images
• Product Showcase: Highlight product features and details
• Document Analysis: Zoom into specific text or diagram regions
• Creative Focus: Create dramatic crop and zoom effects

---

⚠️ Limitations

• Works best with clearly defined red highlight areas
• Very small highlighted regions may lose detail
• Red objects in the image may be confused with highlight markers

---

📄 License

Apache 2.0

---

Created by @ilkerzgi • Trained with fal.ai