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Tony61616/LTX-2.3-3DREAL-LoRA
LTX-2.3-3DREAL-LoRA is a image-to-video model from Tony61616. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for ltx. The card lists the license as other.
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Updated Jul 1, 2026
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From the Hugging Face model README
Trigger word: 3DREAL
Turn a simple 3D render into a photorealistic, cinematic video.
https://fal.ai/models/fal-ai/ltx-2.3-quality/render-to-real
</div>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.
<div align="center">Top = generated result · Bottom = 3D render input


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"])
3DREAL — always kept at the start of the promptvideo_url) + an optional photoreal reference for the first frame (image_url)This repo ships two adapters — pick based on how far you want to push the look:
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.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:
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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