Loop ForgeCouple on a canal, moving camera
Works, from LTX 2.5 Creative Lab LoRAs, tested locally
Watch it in the video at 5:47
- LoRA
- Clean Plate at 1.0
- Output
- 1024×576, 121 frames at 24fps
- Sampling
- 8 steps, euler_ancestral
- Seed
- 42
- Generated in
- 8 min
- Peak VRAM
- 11.2 GiB
- Ran on
- RTX 3060, 12GB (local)
What was wired in
Works
The camera dollies along a canal while a couple walks through the shot. Both of them are removed along with their shadows, and the rest of the scene stays as it was.
An empty clean plate of the exact same canal-side street with the same sideways camera movement: identical brick houses, white window frames, moored boats, stone quay and afternoon light, with no people, no humans, no figures, no backpack and no body parts anywhere in the frame. Photorealistic footage, natural light, high detail.
person, people, human, figure, limb, arm, hand, leg, body part, car, vehicle, bicycle, cyclist, shadow of a person, leftover people, ghosting, semi-transparent remnants, blurry, distorted, inconsistent motion, jitter, worst quality
Run it yourself
Download everything for this test (.zip, 1.6 MB). It holds the workflow, every input it loads and a README. Copy the inputs into ComfyUI/input, put the models below in place and drag the workflow onto ComfyUI.
| File | Put it in | Size |
|---|---|---|
| ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors gated | models/diffusion_models | 21.5 GB |
| gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors gated | models/text_encoders | 15.4 GB |
| ltx-2.5-video-vae-bf16.safetensors gated | models/vae | 1.5 GB |
| ltx-2.5-audio-vae-bf16.safetensors gated | models/vae | 364.9 MB |
| ltx-2.5-22b-ic-lora-clean-plate-1.0.safetensors gated | models/loras | 327.3 MB |
The Lightricks repositories (the LTX 2.5 base model and the LoRAs) are gated. Log in to Hugging Face and accept the terms on each repository page before downloading.
Custom nodes: ComfyUI-LTXVideo at commit 3bf3ca6. Everything else is part of ComfyUI 0.37.0 (commit 0f74f7fb, frontend 1.53.6).