LTX‑2.3 IC‑LoRA — 3D render to Photoreal

Trigger word: 3DREAL

Turn a simple 3D render into a photorealistic, cinematic video.

▶ Run it directly on fal (no setup, LoRA built in)

https://fal.ai/models/fal-ai/ltx-2.3-quality/render-to-real


This is an IC‑LoRA (in‑context LoRA) for LTX‑2.3 that turns a rough grey 3D viewport animation (a simple low‑poly blockout) into a fully photorealistic, film‑quality video, while keeping the exact composition, camera move and layout of the input.

It is made for 3D scenes and synthetic data — Blender blockouts, game‑engine viewports and other CG / synthetic renders become photoreal video.

Examples

Top = generated result · Bottom = 3D render input

harbor

cargo

How to use

The easiest way is the ready‑to‑use endpoint on fal (the adapter is already loaded, nothing to copy):

https://fal.ai/models/fal-ai/ltx-2.3-quality/render-to-real

import fal_client

result = fal_client.subscribe(
    "fal-ai/ltx-2.3-quality/render-to-real",
    arguments={
        "video_url": "<your 3D / CG / game render>",
        "image_url": "<optional photoreal reference for the first frame>",
        # the prompt always keeps the 3DREAL trigger; describe the photoreal result
        "prompt": "3DREAL. Make it photorealistic. A cargo ship stacked with shipping containers in a busy harbor.",
        "resolution": "720p",
    },
)
print(result["video"]["url"])
  • Trigger word: 3DREAL — always kept at the start of the prompt
  • Inputs: a 3D / CG / game render (video_url) + an optional photoreal reference for the first frame (image_url)
  • Base model: LTX‑2.3

Variants — Light & Strong

This repo ships two adapters — pick based on how far you want to push the look:

  • 3DREAL Light (3DREAL-light.safetensors) — faithful, gentle transformation. Stays close to the input's structure, composition and motion; fewer hallucinations. This is the default used by the hosted render-to-real endpoint.
  • 3DREAL Strong (3DREAL-strong.safetensors) — stronger, more aggressive photoreal push. More realism and detail, often better on busy/complex scenes, but may drift a little more from the input.

To run a specific variant with explicit weights, use the LoRA endpoint:

import fal_client

result = fal_client.subscribe(
    "fal-ai/ltx-2.3-quality/reference-video-to-video/lora",
    arguments={
        "video_url": "<your 3D / CG / game render>",
        "image_url": "<photoreal reference for the first frame>",
        "prompt": "3DREAL. Make it photorealistic. <your scene>.",
        "loras": [{"path": "<Light or Strong .safetensors URL>", "scale": 1.0}],
        "resolution": {"width": 1280, "height": 704},
    },
)
print(result["video"]["url"])

Weights:

Example prompts

3DREAL. Make it photorealistic. A cargo ship stacked with shipping containers in a busy harbor at dawn.
3DREAL. Make it photorealistic. A steam train winding through a misty mountain valley.
3DREAL. Make it photorealistic. A lone car driving down an endless desert highway at sunset.
3DREAL. Make it photorealistic. A grand ballroom with crystal chandeliers, slow camera glide.
3DREAL. Make it photorealistic. A coastal cliff with a lighthouse and crashing waves at golden hour.
3DREAL. Make it photorealistic. A sleek bullet train speeding across green countryside.

Created by Lovis Odin (@OdinLovis) with fal (@fal · fal.ai)

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