SORA 2 in Krita

[nesmonmehdydeal]

`Got it — here’s the cleanest, working way to use Sora 2 with Krita today, plus a higher-integration option if you want more automation.

Quick path (no coding): Sora → MP4 → Krita

1. Create your shot in Sora 2.
   Install the Sora iOS app (invite rollout; web at sora.com follows) and generate a clip. Sora 2 currently ships through the app/web, with API access planned “in the future.” ([OpenAI]1)

2. Note export characteristics.
   Sora videos are short-form, defaulting to ~10 s vertical (9:16) with synchronized audio. They include a visible watermark and embed C2PA credentials. ([OpenAI Help Center]2)

3. Enable video import in Krita (FFmpeg).
   Krita’s Import Video Animation uses FFmpeg/FFprobe. In Krita: File → Render Animation… → Video, set the FFmpeg executable path (Windows example: C:\ffmpeg\bin\ffmpeg.exe). Once configured there, Krita remembers it and also uses it for importing video. On macOS/Linux, just point Krita to your system FFmpeg. ([Krita Manual]3)

4. Import your Sora clip.
   In Krita: File → Import Video Animation… → pick the MP4 → set FPS (match Sora’s FPS), Start at, Duration, and optional Import Video Scale to downscale if RAM is tight. Krita will decode the MP4 into paintable frames on an animation layer. ([Krita Manual]4)

That’s it—you can now paint, tween, rotoscope, composite, and render your final from Krita.

---

“Apply Mode Dev” — tighter integration options

A) One-click ingest plugin (lightweight)

If you want a button in Krita that pulls the latest Sora MP4 from a folder and opens the Import Video Animation dialog, build a tiny Python plugin:

• Follow Krita’s Python plugin structure (plugin folder with plugin.json + a .py file; enable via Settings → Configure Krita → Python Plugin Manager). ([Krita Manual]5)
• In your action’s slot, open a file picker to your “Sora Exports” folder, then programmatically trigger Krita’s video-import action (or simply hand the selected path to the user via the dialog). The How-To covers registering actions/menus and wiring PyQt signals. ([Krita Manual]5)

Why this route? Sora’s public API isn’t live yet, so a local “watch-and-ingest” plugin avoids brittle scraping and keeps you on supported Krita features. ([OpenAI]6)

B) Local, in-Krita generation today (Sora-adjacent)

If you need generation inside Krita (not just import), use the Krita AI Diffusion plugin connected to a local ComfyUI server and run an open video model:

• Krita AI Diffusion: install/enable, then connect to ComfyUI via “Custom Server.” Recent versions support custom Comfy workflows. ([GitHub]7)
• WAN 2.2 (open model): text-to-video / image-to-video up to 720p @ 24 fps and runs locally on a 4090-class GPU. Use ComfyUI nodes to generate the shot, then import the resulting MP4 back into Krita as above. ([GitHub][8])

This gives you an end-to-end “in-Krita” creative loop while Sora’s API is still pending.

---

Practical setup notes

• Project settings in Krita: set Animation FPS to match the source (e.g., 24 fps from Sora or WAN), and set canvas to your delivery resolution before importing to avoid scaling later. ([Krita Manual]4)
• Memory planning: importing video expands frames in RAM/disk. Use Import Video Scale to downscale for paint work, or trim Duration to only the range you need. ([Krita Manual]4)
• Render out: after editing, render via File → Render Animation… using the same FFmpeg path you configured. ([Krita Manual]3)

---

TL;DR

• Today: Generate in Sora 2 app/web → Import Video Animation in Krita (requires FFmpeg). ([OpenAI]1)
• Soon: Direct Sora 2 API integration (once OpenAI exposes it). ([OpenAI]6)
• Alternative now: In-Krita generation via Krita AI Diffusion + ComfyUI using WAN 2.2, then import to Krita. ([GitHub]7)

If you want, I can draft a minimal Krita plugin skeleton (files + a short Python stub) that adds a “Import Sora Clip…” menu item and pre-filters to your export folder.

[8]: https://github.com/Wan-Video/Wan2.2?utm_source=chatgpt.com "Wan-Video/Wan2.2"`