ChronoEdit 14B Nvidia’s New AI Image Edit Model Is Broken - Here’s Why! (Patreon)

Video : https://youtu.be/9dE7wub5ALs

In this video, we take a deep dive into Nvidia’s new Chrono Edit image editing model—how it works, how to run it locally in ComfyUI, and how it stacks up against alternatives like Qwen Image Edit. Built on the Wan 2.2 video architecture, Chrono Edit uses a unique animation-based approach to image editing, but does it deliver? We test both the quantized (GGUF) and FP16 versions, compare prompt adherence, editing accuracy, and real-world performance, so you don’t have to guess. Whether you’re an AI artist, a local AI developer, or just curious about the latest in generative editing tools, this hands-on breakdown shows exactly what Chrono Edit can—and can’t—do today. Understanding these differences matters because choosing the right tool saves you time, GPU resources, and creative frustration.

For Wom?

AI hobbyists, local AI practitioners, content creators using image generation models, ComfyUI users, and developers exploring open-source image editing tools.

Why The F It Matters?

With dozens of new AI image editors emerging, knowing which models actually work—and which are just hype—is critical for efficient, high-quality output. This video cuts through the noise with real tests and side-by-side comparisons.

ChronoEdit 14B

https://research.nvidia.com/labs/toronto-ai/chronoedit/

https://github.com/comfyanonymous/ComfyUI/issues/10568

Chrono_edit_14B_fp16 32.8GB

https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/blob/main/split_files/diffusion_models/chrono_edit_14B_fp16.safetensors

Chronoedit_distill_lora for low sampling steps

https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers/blob/main/lora/chronoedit_distill_lora.safetensors

Chrono_edit_14B GGUF Models

https://huggingface.co/QuantStack/ChronoEdit-14B-GGUF

You can compare by yourself in ComfyUI: