Laguna by Poolside vs Qwen Image MultipleAngles: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Laguna by Poolside and Qwen Image MultipleAngles — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Laguna by Poolside
Poolside
Poolside's family of open Mixture-of-Experts foundation models for agentic coding — XS.2 runs locally, M.1 reaches 72.5% on SWE-bench Verified.
Key features
- Two Model Sizes: Laguna XS.2 (33B total / 3B active) and Laguna M.1 (225B total / 23B active) target different latency and capability needs.
- Mixture-of-Experts Architecture: Routes each token through a subset of experts for efficiency at large scale.
- Local Deployment: XS.2 is small enough to run on a Mac with 36 GB of RAM via Ollama under an Apache 2.0 license.
- Strong SWE-bench Results: XS.2 hits 68.2% and M.1 reaches 72.5% on SWE-bench Verified.
- Bundled Coding Agent: Ships 'pool,' a lightweight terminal-based coding agent.
- Agent Client Protocol: Includes a dual ACP client-server used internally for agent RL training and evaluation.
Best for
- Local Agentic Coding: Running XS.2 on a laptop for private, offline code generation and editing.
- High-Capability Code Tasks: Using M.1 for harder, long-horizon software engineering work.
- Self-Hosted Deployments: Building on open weights to avoid third-party API dependencies.
- Research & Fine-Tuning: Adapting permissively licensed weights for custom coding workflows.
- Benchmarking: Evaluating agentic coding performance against SWE-bench Verified and Pro.
Qwen Image MultipleAngles
tori29umai
Upload an image and apply camera effects (rotation, zoom, angles) using presets or custom prompts to generate multiple views.
Key features
- Camera Effects Controls: Apply precise camera-style adjustments such as rotation, zoom, height, distance and angle to generate new views from a single input image.
- Prompt-driven Transformations: Use predefined presets or custom natural-language prompts to guide edits and produce varied camera perspectives and stylistic changes.
- LoRA Adapter Support: Load and apply LoRA adapters (camera-angle, lighting, style LoRAs) to specialize transformations, enable fast fine-tuned edits, and combine multiple adapters for complex results.
- Multi-Image Composition: Accept multiple input images for tasks like object replacement, multi-view composition, or sequential edits while preserving background and pose when requested.
- Preserve Pose and Structure: Maintain original subject poses and body positions across angle changes to keep semantic consistency during camera transforms.
- Optimized Inference Workflows: Integrations and example workflows (ComfyUI/Gradio) include automatic resizing to optimal diffusion dimensions, attention/processor optimizations, and multi-GPU/device_map support for faster runs.
- Interactive Web UI Hosting: Hosted as a Hugging Face Space with drag-and-drop uploads, sliders for seeds/steps/guidance, and example presets for rapid experimentation.
- Exportable Model Artifacts: Compatible with downloadable model weights and safetensors (LoRA files) for local deployment or integration into custom pipelines.
- Interactive web UI (Hugging Face Space / Gradio) for uploading images and applying camera effects
- Natural-language prompt editing for precise instructions (rotate, zoom, angle changes, relight, style transfer)
- Multi-image input support for complex compositing and replacements
- Compatibility with LoRA adapters for specialized camera-angle control and style transforms
- Automatic image resizing to multiples of 8 while preserving aspect ratio for diffusion processing
- Flexible quantization and precision options (4-bit, 8-bit, FP16; pre-quantized FP8 models supported)
- GPU and multi-GPU support with device_map='cuda' and model caching to VRAM for faster subsequent runs
- Optimized attention processors (double-stream/Flash Attention variants) and negative prompting to reduce artifacts
- Integration/usage examples for ComfyUI nodes and local Gradio apps; model files provided on Hugging Face hub
Best for
- E-commerce Multi-View Generation: Create additional product angles from a single photo to populate online listings or marketing materials without reshooting.
- Character/Art Variation: Produce multiple camera angles and close-ups for illustrations, concept art, or character sheets using LoRA camera-angle adapters.
- Relighting and Restoration: Apply relighting or shadow removal LoRAs to improve photo lighting while changing viewpoint for consistent scene edits.
- Object Replacement & Composition: Swap or replace subjects across images (e.g., replace an animal or prop) while preserving the original environment and camera framing.
- Dataset Augmentation: Generate multi-angle variants of images to expand training datasets for vision models or 3D reconstruction workflows.
- Rapid Shot Prototyping: Photographers and directors can prototype different camera heights, distances, and lenses virtually before physical shoots, speeding previsualization.
- Change camera angle, zoom level, or view of a product photo for multi-view catalogs
- Replace or composite subjects across multiple reference images while preserving environment and pose
- Create multi-angle visualizations or 3D-like viewpoints from single or multiple photos
- Rapid style transfers or photo-to-anime transforms using LoRA adapters
- Relighting and shadow correction for photography post-processing