license: mit
language: en
base_model: Qwen-Image-Edit-2509
pipeline_tag: image-to-image
tags:
- lora
- cinematic
- comfyui
- qwen
- image-editing
- next-scene
- ai-video
🎥 next-scene-qwen-image-lora-2509
next-scene-qwen-image-lora-2509 is a LoRA fine-tuned on Qwen-Image-Edit (build 2509), designed to generate cinematic, sequential images that evolve naturally from shot to shot.
It enables Qwen Image Edit to interpret prompts like a film director — understanding camera movement, framing, and visual storytelling continuity.
🧠 Model Purpose
This LoRA was trained to bring cinematic continuity into AI image workflows.
Each generated frame feels like a “Next Scene” in a visual story — preserving the core composition while introducing natural shot transitions such as:
- Camera pullbacks and push-ins
- Perspective and framing shifts
- Revealing new characters or environments
- Atmospheric and lighting evolution
Examples of the kind of cinematic logic it learns:
- “Next Scene: The camera pulls back from a close-up on a flying vehicle to a wide aerial shot, revealing multiple similar vehicles soaring over a fantastical landscape.”
- “Next Scene: The camera tracks forward and lowers its angle, bringing the sun and helicopters closer into the frame with a strong lens flare.”
- “Next Scene: The camera pans right, removing the flying creature and rider from the frame and revealing more of the floating mountains.”
⚙️ How to Use
- Load Qwen-Image-Edit 2509 as your base model.
- Add a LoRA Loader and select
next-scene-qwen-image-lora-2509. - Recommended strength:
0.7 – 1.0. - Use structured prompts starting with Next Scene.
Example Prompt:
Next Scene: The camera moves slightly forward, showing the sunlight breaking through clouds while the character’s silhouette glows softly in the mist. realistic cinematic style
🎬 Concept
Trained on a large, high-quality cinematic dataset (details undisclosed), this model learns to think like a director.
It doesn’t just change an image — it advances the visual story, maintaining continuity of light, space, and emotional tone across multiple frames.
Ideal for:
- Storyboard generation
- Cinematic AI video pipelines
- Sequential Qwen image editing
- ComfyUI and multi-frame creative workflows
⚠️ Limitations
- Not optimized for portrait-only or static illustration tasks.
- Works best in structured “Next Scene” pipelines.
- Prioritizes storytelling flow over isolated image detail.
🧱 Technical Info
- Base model: Qwen-Image-Edit (build 2509)
- Architecture: LoRA
- Goal: Enhance scene continuity and shot coherence
- Training data: Large-scale cinematic dataset (undisclosed)
📄 License
MIT License — free for research, educational, and creative use.
Commercial use requires independent testing and attribution.
🌐 Author
Created by @lovis93
Exploring the boundaries of AI-directed cinematography and storytelling.
🐦 Tweet Template
🎥 Introducing next-scene-qwen-image-lora-2509
A LoRA fine-tuned for Qwen-Image-Edit 2509 — trained to think like a director.
It evolves each frame naturally: new angles, new light, same world.
Perfect for cinematic storyboards, trailers, and “Next Scene” workflows.
👉 https://huggingface.co/lovis93/next-scene-qwen-image-lora-2509
#AIart #ComfyUI #Qwen #LoRA #GenerativeAI #AIcinema