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nvidia/chrono-edit/lora

Transform images naturally with ChronoEdit LoRA, an AI image-to-image model delivering physics-aware, temporally coherent edits that preserve realism, lighting, and geometry for professional visual refinement.

The image to edit.
The number of inference steps to perform.
Whether to enable prompt expansion.
The resolution of the output image.
The format of the output image.

Introduction to Chrono Edit LoRA

ChronoEdit LoRA is an advanced AI-powered image-to-image editing model developed by NVIDIA’s Toronto AI Lab in collaboration with the University of Toronto. Released in October 2025 as an open-source project, Chrono Edit LoRA introduces a breakthrough approach that treats edits as temporally coherent transformations rather than static pixel alterations. With two model sizes, ranging from approximately 2B to 14B parameters, it balances performance and efficiency while achieving state-of-the-art results on benchmarks emphasizing realism. Its LoRA-based low-rank adaptation ensures precision, scalability, and adaptability for professionals who demand consistent lighting, accurate geometry, and controllable fine-tuning in every edit. Chrono edit lora image-to-image generation tool empowers you to transform visuals naturally while preserving physical realism. Designed for creators, researchers, and designers, it delivers convincing edits that maintain shadows, materials, and spatial coherence. With Chrono Edit LoRA, you gain intuitive natural language control, reproducible results, and a faster, physics-aware image-to-image workflow for elevated visual storytelling.

Examples Created with Chrono Edit LoRA

What makes Chrono Edit LoRA stand out

Chrono Edit LoRA is a high-fidelity image-to-image editor designed for precise, physics-aware changes while preserving scene geometry, materials, and lighting. It favors targeted modification over full-frame regeneration, keeping pose, perspective, and texture continuity intact under subtle retouching or bold restyling. Chrono Edit LoRA blends LoRA-based adaptability with strong structure preservation, enabling controlled corrections, content replacement, and mood shifts without collateral drift. With tunable guidance, inference steps, a safety checker, and Turbo Mode for rapid iteration, it balances realism, stability, and speed. Optional temporal reasoning maintains cause-and-effect plausibility across iterative passes on the same input. Key capabilities:

  • Structure-preserving edits that maintain pose, layout, depth cues, and material response.
  • Realistic illumination that retains shadows, reflections, and camera perspective.
  • Localized control via natural-language constraints for background-only or element-specific changes.
  • Temporal reasoning for iterative workflows to keep continuity across sequential passes.
  • Prompt expansion (Magic Prompt) for concise inputs; disable for strict art direction.
  • Deterministic, tunable control with seed, guidance scale, and inference steps.
  • Adaptable LoRA merging; Chrono Edit LoRA can combine up to 3 additional LoRAs reliably.

Prompting guide for Chrono Edit LoRA

Start by supplying a clear base image via image_url, then describe desired changes and what must be preserved. Use concrete nouns, materials, lighting, and spatial cues. Adjust guidance_scale to control strength, and increase num_inference_steps when finer detail is needed. Choose resolution 480p or 720p, set output_format, and fix seed for reproducibility. Turbo Mode accelerates previews. Examples:

  • Preserve subject and pose; replace background with overcast city skyline, match lighting and perspective
  • Remove power lines; keep roof texture, shingles, and specular highlights intact
  • Add wooden bench to the right of the subject; consistent scale and shadows on pavement
  • Replace storefront sign with sans-serif typography; perspective matched, white lettering
  • Subtle cinematic color grade; keep skin tones neutral and clothing hue unchanged Pro tips:
  • Always state constraints: what to keep vs what to change for Chrono Edit LoRA to minimize drift.
  • Use spatial language: left of subject, background only, upper-right quadrant.
  • Moderate descriptors; prefer a few strong terms over many competing adjectives.
  • Iterate with seeds: lock seed and vary guidance_scale or steps for controlled exploration.
  • For fine edges and retouching, use 720p and PNG; for quick reviews, enable Turbo Mode. Chrono Edit LoRA responds best to clean, high-quality inputs.

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Frequently Asked Questions

What is chrono edit lora and how does its image-to-image process work?

Chrono edit lora is an AI-powered image-to-image editing model created by NVIDIA and the University of Toronto. It treats the original and final images as frames in a temporal sequence, reasoning through intermediate frames to ensure realistic lighting, geometry, and shadows in each edit.

What are the main features that make chrono edit lora unique for image-to-image editing?

Chrono edit lora stands out with its physics-aware consistency, temporal reasoning for realistic visual transitions, and fine-tuning through LoRA layers. When used for image-to-image workflows, it accurately preserves object geometry, lighting, and material fidelity.

Is chrono edit lora free to use, and how does credit pricing work for image-to-image editing?

Access to chrono edit lora is through Runcomfy’s AI playground, where users spend credits for each generation. While new users receive free trial credits, continued image-to-image use of chrono edit lora requires purchasing additional credits as described in the Generation section of the platform.

Who can benefit most from using chrono edit lora for image-to-image tasks?

Chrono edit lora is best suited for photographers, designers, and researchers who need professional-grade realism in image-to-image editing. It’s widely used for visual effects, product imagery, and synthetic data generation in computer vision projects.

What kind of results can I expect from chrono edit lora’s image-to-image editing compared to other models?

The chrono edit lora model typically produces highly realistic edits that maintain consistent physical traits such as shading and perspective. Its image-to-image output generally surpasses prior open models in terms of visual coherence and material accuracy.

What image formats does chrono edit lora support for image-to-image editing?

Chrono edit lora supports standard image formats such as JPEG and PNG for both input and output. This makes its image-to-image functionality compatible with most creative and production workflows across design, photography, and AI development applications.

Can chrono edit lora run on mobile or only on desktop for image-to-image edits?

Users can access chrono edit lora directly through Runcomfy’s website, which works well on both desktop and mobile browsers. That means you can perform image-to-image editing conveniently from nearly any modern device with internet access.

Are there any limitations when using chrono edit lora for image-to-image transformation?

While chrono edit lora produces highly realistic edits, it performs best when given high-quality inputs with proper lighting. In image-to-image workflows, overly complex or inconsistent inputs may reduce output accuracy or require longer inference times.