This workflow restores archival or degraded footage in one pass using an LTX 2.3 backbone guided by a Dearchive LoRA. It starts by decoding your clip with LoadVideo and reading timing/size data via GetVideoComponents, then routes frames through the restoration core before re-encoding to a clean MP4 with SaveVideo. The defaults are tuned to reduce common archive artifacts such as heavy grain, flicker, scratches, and compression noise, while keeping the original framing and timing intact.
Under the hood, two custom nodes (IDs: 14beb77c-6207-496b-9559-1eeb98b2ee76 and 5784f1cc-cf8c-4289-9c5b-2e837048198f) implement the LTX 2.3 model pass and apply the Dearchive LoRA. GetVideoComponents feeds FPS and resolution forward so the SaveVideo node can encode at the correct timing, helping maintain temporal consistency. If the custom nodes expose a LoRA weight/strength parameter, you can fine-tune the level of restoration: higher values push stronger cleaning, lower values retain more original texture.
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
GET https://comfy.org/workflows/download/d636956bdddc.jsonFetching workflow JSON…
Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
# Install (beta)
pip install comfy-sdk # Python
npm i @comfyorg/sdk # TypeScript
# Run this workflow (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
output.to_file(output.name)The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key
FAQ
