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--- |
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license: creativeml-openrail-m |
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language: |
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- en |
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tags: |
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- flux |
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- flux.2 |
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- flux-lora |
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- lora |
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- multi-angle |
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- camera-angles |
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- image-to-image |
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- fal-ai |
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base_model: black-forest-labs/FLUX.2-dev |
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pipeline_tag: image-to-image |
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--- |
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# π¬ Flux 2 Multi-Angles LoRA v2 |
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> **Control camera angles with 72 unique positions - Trained with [fal.ai](https://fal.ai)** |
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## πΌοΈ Results |
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| Input β Output | Input β Output | Input β Output | |
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|----------------|----------------|----------------| |
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|  |  |  | |
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--- |
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## π― Prompt Format |
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``` |
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<sks> [view] [elevation] shot [distance] |
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``` |
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### Quick Examples |
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``` |
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<sks> front view eye-level shot close-up |
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<sks> right side view high-angle shot medium shot |
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<sks> back view overhead shot wide shot |
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``` |
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### All 72 Prompts Reference |
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--- |
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## π¦ Files |
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| File | Use Case | |
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|------|----------| |
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| `flux-multi-angles-v2-72poses-fal.safetensors` | [fal.ai](https://fal.ai) | |
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| `flux-multi-angles-v2-72poses-comfy.safetensors` | ComfyUI | |
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βΆοΈ [Try it live on fal.ai](https://fal.ai/models/fal-ai/flux-2-lora-gallery/multiple-angles/playground) |
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--- |
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## βοΈ Settings |
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- **LoRA Strength**: 0.8 - 1.0 |
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- **Base Model**: FLUX.2-dev |
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--- |
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## π 72 Camera Positions |
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**8 Azimuths** Γ **9 Elevations** Γ **3 Distances** = **72 Poses** |
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| Azimuths | Elevations | Distances | |
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|----------|------------|-----------| |
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| 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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--- |
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## π‘ Inspiration |
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This project was inspired by: |
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- My previous work [next-scene-qwen-image-lora](https://huggingface.co/lovis93/next-scene-qwen-image-lora-2509) |
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- [dx8152/Qwen-Edit-2509-Multiple-angles](https://huggingface.co/dx8152/Qwen-Edit-2509-Multiple-angles) |
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I wanted to document how to properly create a dataset for camera angle control and apply it to Flux.2. |
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--- |
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## π€ Author |
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Created by **[@lovis93](https://huggingface.co/lovis93)** β’ Trained with [**fal.ai**](https://fal.ai) |
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**β If you find this useful, please star!** |
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