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ltx2.3-chinese-drama-iclora-depth
SyFeee/ltx2.3-chinese-drama-iclora-depth
ltx2.3-chinese-drama-iclora-depth is a text-to-video model from SyFeee. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
An IC-LoRA (In-Context LoRA) for LTX-Video 2.3 (22B) that conditions video generation on a monocular depth video so the generated scene's 3D structure follows a user-supplied reference. Trained on the same 78-episode…
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At a glance
- Task
- Text-to-Video
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- May 29, 2026
- Updated
- May 29, 2026
- SHA
- 63cfa733
Base models
Model card
From the Hugging Face model README
LTX-2.3 Chinese Drama IC-LoRA — Depth Control
An IC-LoRA (In-Context LoRA) for LTX-Video 2.3 (22B) that conditions video generation on a monocular depth video so the generated scene's 3D structure follows a user-supplied reference. Trained on the same 78-episode Chinese historical drama corpus as the character LoRA, with the depth reference produced by Depth-Anything-3 at the source resolution.
Model details
| Field | Value |
|---|---|
| Base model | Lightricks/LTX-2.3-22B |
| Adapter type | IC-LoRA (with reference-video conditioning) |
| Conditioning input | Monocular depth video (Depth-Anything-3 inverse-depth render, MP4) |
| Rank | 128 |
| Alpha | 128 |
| Target modules | to_k, to_q, to_v, to_out.0 |
| Training steps | 6000 |
| Optimizer | AdamW |
| Learning rate | 1e-4, linear schedule |
| Mixed precision | bf16 |
| Reference channel | concatenated to the latent via --video-conditioning (strength 1.0) |
Training data
Identical corpus + caption format to the character LoRA, plus per-clip depth videos extracted via Depth-Anything-3 (unified model with 6-DoF camera + depth on the same forward pass). The depth maps are inverse-depth normalised, rendered to MP4, and matched in resolution to the source clip.
Usage
IC-LoRA inference requires a depth reference video at the target resolution + an inline-weave prompt.
LTX ltx_pipelines.ic_lora invocation
python -m ltx_pipelines.ic_lora \
--prompt "char_0_person. Framed in a static eye level close-up, on a 50mm normal lens, with shallow focus. Set in a candlelit Han dynasty study, the subject sits writing on bamboo scrolls. Live-action photorealistic, cinematic Chinese drama." \
--negative-prompt "no CGI, no animation, no illustration, no painterly style, no anime" \
--lora <path_to>/lora_weights_step_06000.safetensors 1.0 \
--video-conditioning <depth_reference>.mp4 1.0 \
--width 1280 --height 544 --num-frames 89 \
--guidance-scale 4.0 --num-inference-steps 20 \
--skip-stage-2
Recommended strengths
| Component | Value |
|---|---|
| LoRA strength | 1.0 (validated default) |
| Video conditioning strength | 1.0 (faithful depth following) |
| Lower video conditioning (0.5–0.7) | softer geometry adherence, more interpretive output |
When to use this vs the other adapters
| Use case | Reach for |
|---|---|
| "Generate a scene matching THIS depth/geometry reference" | Depth IC-LoRA (this one) |
| "Generate a scene matching THIS pose reference" | Pose IC-LoRA |
| "Generate a scene matching THIS line-art / canny reference" | Canny IC-LoRA |
| "Just generate a Chinese drama scene from scratch" | Character LoRA |
Stack with the character LoRA for identity + geometry. Validated stack: char 0.9 + depth 1.0.
What this LoRA does well
- Faithful 3D geometric structure transfer — generated scenes match the spatial layout of the reference.
- Preserves Chinese drama lighting + costume style across very different geometry references.
- Strong on interior scenes (corridors, courtyards, study rooms) where depth cues are informative.
What it does NOT do
- No identity — depth IC-LoRA controls geometry, not subject identity. Stack with the character LoRA for that.
- Not great on flat / depthless reference — if the depth map is uniformly flat the model has nothing to follow.
- Depth reference resolution must match target output resolution.
Related models
SyFeee/ltx2.3-chinese-drama-charlora— character / style LoRA.SyFeee/ltx2.3-chinese-drama-iclora-pose— pose-controlled IC-LoRA.SyFeee/ltx2.3-chinese-drama-iclora-canny— canny-edge-controlled IC-LoRA.
License
Apache 2.0. See LICENSE for terms.
Attribution: SyFe.
- Task
- Text-to-Video
- Library
- diffusers
- License
- apache-2.0
- Languages
- zh, en
- Created
- May 29, 2026
- Updated
- May 29, 2026