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ChronoEdit

Intermediate

Development line: project:chronoedit · thread chronoedit-release-and-adapters
Last event: 2025-11-18 · 3 dated since 2025-10-31 · Researched: 2026-09-04 · confidence: medium

What it is

ChronoEdit — a Diffusers image editor for creators and developers who need an object edit to remain plausible within its scene.

  • Treats the source and edited image as endpoints of a short video, then uses temporal reasoning to guide the edit.
  • Supports prompt-based editing, an eight-step distillation LoRA, an upscaling LoRA, and a sketch-to-object Paint Brush LoRA.
  • The 14B base workflow needs about 34 GB of VRAM with model offload, or about 38 GB with temporal reasoning; the upscaler is tested to 2K.

Use it for local CUDA image-editing workflows where object interaction matters. It is not a lightweight desktop editor.

Development line

  • 2025-10-31 — ChronoEdit project, code, demo, and 14B model resources were linked. On 2025-10-31, links published the ChronoEdit research page, GitHub repository, Hugging Face Space, and ChronoEdit-14B-Diffusers model.
  • 2025-11-11 — ChronoEdit 14B Diffusers Upscaler LoRA was added to the line. On 2025-11-11, links published the separate ChronoEdit-14B-Diffusers-Upscaler-Lora companion artifact.
  • 2025-11-18 — ChronoEdit 14B Diffusers Paint Brush LoRA was added to the line. On 2025-11-18, links published the separate ChronoEdit-14B-Diffusers-Paint-Brush-Lora companion artifact after the base model and Upscaler LoRA.

What changed

ChronoEdit moved from a 14B base editor to an upstream Diffusers pipeline with two task-specific LoRAs.

  • 2025-10-31 — the 14B Diffusers checkpoint, source code, and demo made the base workflow usable; NVIDIA’s repository dates the checkpoint release to 2025-10-29.
  • 2025-11-11 — the Upscaler LoRA added a dedicated content-preserving super-resolution workflow; NVIDIA dates its release to 2025-11-10.
  • 2025-11-18 — the Paint Brush LoRA added black-sketch-to-object editing; NVIDIA dates its release to 2025-11-16 and recommends pairing it with the eight-step distillation LoRA.
  • 2026-09-04 — the official Diffusers documentation lists the 14B base model and two LoRAs as the supported ChronoEdit assets.

How to use this

We treat ChronoEdit as a base 14B Diffusers model with separate Upscaler and Paint Brush LoRA adapters as of 2025-11-18. Check primary documentation to verify compatibility and usage before running.

  1. Set up Linux with Python 3.10, install the repository environment, and download nvidia/ChronoEdit-14B-Diffusers. — https://github.com/nv-tlabs/ChronoEdit
  2. Load the base checkpoint through ChronoEditPipeline in Diffusers on CUDA, load the source image, and resize it to the supported latent grid. — https://huggingface.co/docs/diffusers/api/pipelines/chronoedit
  3. Run the image with a prompt stating the change and what stays unchanged; take the final generated frame as the edited image. — https://huggingface.co/docs/diffusers/api/pipelines/chronoedit
  4. For fast standard editing, load the supplied eight-step distillation LoRA with flow_shift=2.0, guidance scale 1.0, and eight inference steps. — https://github.com/nv-tlabs/ChronoEdit
  5. For content-preserving enlargement, load the Upscaler LoRA with its super-resolution prompt; stay at or below the tested 2K limit. — https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora
  6. For a drawn-object edit, load Paint Brush with the eight-step distillation LoRA, provide a black pencil sketch, and describe the target object. — https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers-Paint-Brush-Lora

Best practices

Superseded by this

  • 2025-11-10 — the repository wrapper as the sole inference route is obsolete: ChronoEdit was merged into Hugging Face Diffusers.
  • 2025-11-10 — base-only enlargement is superseded by the Upscaler LoRA workflow, tested up to 2K.
  • 2025-11-16 — text-only editing for sketches is superseded by Paint Brush LoRA with the eight-step distillation workflow.

Still unknown

  • No first-party Simplified Chinese guide was found; the operational guidance cited here is English.
  • Official sources list the 14B base model and two LoRAs, but do not confirm whether newer checkpoints exist elsewhere.
  • The official hosted Space returned an internal error during this check; live-demo availability remains unverified.

Sources

source title read
https://research.nvidia.com/labs/toronto-ai/chronoedit/ ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation 2026-09-04
https://github.com/nv-tlabs/ChronoEdit nv-tlabs/ChronoEdit — ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation 2026-09-04
https://huggingface.co/docs/diffusers/api/pipelines/chronoedit ChronoEdit — Hugging Face Diffusers documentation 2026-09-04
https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers nvidia/ChronoEdit-14B-Diffusers 2026-09-04
https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora 2026-09-04
https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers-Paint-Brush-Lora nvidia/ChronoEdit-14B-Diffusers-Paint-Brush-Lora 2026-09-04

Agent brief

  • Subject: project:chronoedit, thread chronoedit-release-and-adapters, 3 dated events 2025-10-31 → 2025-11-18.
  • Practical note: We treat ChronoEdit as a base 14B Diffusers model with separate Upscaler and Paint Brush LoRA adapters as of 2025-11-18. Check primary documentation to verify compatibility and usage instructions before use.
  • Confidence: medium. Dated supersedes above determine what is obsolete.