README.md

metadata

license: creativeml-openrail-m
language:
  - en
tags:
  - flux
  - flux.2
  - flux-lora
  - lora
  - multi-angle
  - camera-angles
  - image-to-image
  - fal-ai
base_model: black-forest-labs/FLUX.2-dev
pipeline_tag: image-to-image

🎬 Flux 2 Multi-Angles LoRA v2

Control camera angles with 72 unique positions - Trained with fal.ai

🖼️ Results

Input → Output	Input → Output	Input → Output

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🎯 Prompt Format

<sks> [view] [elevation] shot [distance]

Quick Examples

<sks> front view eye-level shot close-up
<sks> right side view high-angle shot medium shot
<sks> back view overhead shot wide shot

All 72 Prompts Reference

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📦 Files

File	Use Case
flux-multi-angles-v2-72poses-fal.safetensors	fal.ai
flux-multi-angles-v2-72poses-comfy.safetensors	ComfyUI

▶️ Try it live on fal.ai

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⚙️ Settings

• LoRA Strength: 0.8 - 1.0
• Base Model: FLUX.2-dev

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📐 72 Camera Positions

8 Azimuths × 9 Elevations × 3 Distances = 72 Poses

Azimuths	Elevations	Distances
front, front-right quarter, right side, back-right quarter, back, back-left quarter, left side, front-left quarter	eye-level, low-angle, mid-low, mid-angle, high-mid, high-angle, steep-mid, steep-angle, overhead	close-up, medium, wide

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💡 Inspiration

This project was inspired by:

• My previous work next-scene-qwen-image-lora
• dx8152/Qwen-Edit-2509-Multiple-angles

I wanted to document how to properly create a dataset for camera angle control and apply it to Flux.2.

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👤 Author

Created by @lovis93 • Trained with fal.ai

⭐ If you find this useful, please star!