This is a simplified guide to an AI model called Qwen-Image-Edit-2511-Multiple-Angles-LoRA maintained by fal. If you like these kinds of analysis, join AIModels.fyi or follow us on Twitter.
Model overview
Qwen-Image-Edit-2511-Multiple-Angles-LoRA is a specialized adapter trained by fal that extends the capabilities of Qwen-Image-Edit-2511 with precise multi-angle camera control. This LoRA represents the first comprehensive solution for controlling camera position with 96 distinct poses across horizontal rotation, vertical angle, and distance variations. Unlike the base model's built-in viewpoint capabilities, this adapter provides exact control through a dataset of 3000+ training pairs derived from Gaussian Splatting renders, ensuring 3D-consistent results across all camera positions. Similar models like qwen-image-edit-2511-multiple-angles and qwen-image-edit-2509-lora-gallery/multiple-angles offer comparable functionality across different Qwen versions, but this iteration adds robust low-angle support down to -30 degrees and more extensive quality testing.
Model inputs and outputs
The model accepts image editing requests paired with precise camera control parameters. You specify the desired camera position using a structured prompt format that combines azimuth, elevation, and distance values. The system then renders the scene from that exact perspective while maintaining consistency with the original image content.
Inputs
- Base image - The scene or object to render from different angles
- Camera azimuth - Horizontal rotation (0° front view, 90° right side, 180° back, 270° left side, plus 45° increments)
- Camera elevation - Vertical angle (-30° low-angle shot, 0° eye-level, 30° elevated, 60° high-angle)
- Camera distance - Zoom factor (0.6 close-up, 1.0 medium shot, 1.8 wide shot)
Outputs
- Rendered image - The original scene redrawn from the specified camera position
- 3D-consistent results - Views maintain spatial coherence across all 96 poses
- Smooth camera transitions - Individual frames can be sequenced into camera animations
Capabilities
The model controls camera movement across four elevation angles, eight horizontal rotations, and three distance settings. This creates a comprehensive 96-pose camera system trained specifically on Gaussian Splatting data for consistency. The low-angle support at -30 degrees enables ground-level perspectives that earlier versions struggled with. You can generate extreme close-ups to reveal fine details, balanced medium shots for standard composition, or wide shots that establish environmental context. The camera system supports quarter-view angles like front-right and back-left, enabling cinematic perspectives. The model maintains object appearance while exclusively manipulating viewpoint, allowing you to create camera animations by sequencing multiple poses.
What can I use it for?
Product visualization benefits from generating multiple viewing angles without reshooting. E-commerce platforms can create interactive 360-degree product views by rendering all poses sequentially. Architectural visualization can present buildings from ground-level perspectives and elevated overviews. Game development can generate training data for AI-controlled cameras. Film and animation pre-visualization can explore camera movements before expensive production work. You can monetize this through API services that generate multi-angle product photos at scale, or integrate it into design platforms offering automated perspective rendering. Companies creating virtual showrooms can use the camera control to build immersive viewing experiences.
Things to try
Experiment with creating camera animation loops by rendering the same object through all eight azimuth angles at a single elevation, then repeating at different elevations to explore the full 360-degree space. Test low-angle shots combined with wide-angle distance for dramatic perspective distortion. Layer medium shots from opposite angles to compare symmetry. Combine close-ups with high-angle shots to reveal top surfaces and fine details simultaneously. Use the elevation variations to create depth comparisons that show how perspective changes across the vertical axis. Try corner angles like front-left and back-right to discover unexpected compositional possibilities.