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SyFeee/ltx2.3-chinese-drama-iclora-pose
ltx2.3-chinese-drama-iclora-pose 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 pose video (DWPose 133-keypoint skeleton render) so the generated subject's pose follows a user-supplied reference. Trained on…
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From the Hugging Face model README
An IC-LoRA (In-Context LoRA) for LTX-Video 2.3 (22B) that conditions video generation on a pose video (DWPose 133-keypoint skeleton render) so the generated subject's pose follows a user-supplied reference. Trained on the same 78-episode Chinese historical drama corpus as the sibling character LoRA, so it preserves the live-action Han dynasty visual style while you control the motion.
| Field | Value |
|---|---|
| Base model | Lightricks/LTX-2.3-22B |
| Adapter type | IC-LoRA (with reference-video conditioning) |
| Conditioning input | Pose video (DWPose 133 keypoints rendered to 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) |
Identical corpus + caption format to the character LoRA, plus per-clip pose videos extracted via DWPose 133-keypoint model (whole-body keypoints, COCO-WholeBody schema). The pose video is rendered at the same resolution as the source clip and serves as the structural reference during training.
IC-LoRA inference requires a pose reference video at the target resolution + an inline-weave prompt. The reference can be extracted from any source video with the matching DWPose pipeline.
ltx_pipelines.ic_lora invocationpython -m ltx_pipelines.ic_lora \
--prompt "char_0_person, char_1_person. Framed in a static eye level medium shot, on a 35mm normal lens. Set in a Han dynasty courtyard, the subjects face each other. 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 <pose_reference>.mp4 1.0 \
--width 1280 --height 544 --num-frames 89 \
--guidance-scale 4.0 --num-inference-steps 20 \
--skip-stage-2
| Component | Value |
|---|---|
| LoRA strength | 1.0 (validated default) |
| Video conditioning strength | 1.0 (faithful pose following) |
| Lower video conditioning (0.5–0.7) | softer pose adherence, more creative interpretation |
| Use case | Reach for |
|---|---|
| "Generate a Chinese drama scene with these characters" | Character LoRA |
| "Generate a Chinese drama scene where the subject follows THIS pose video" | Pose IC-LoRA (this one) |
| "Generate a scene that exactly mirrors the camera motion of THIS reference" | Depth IC-LoRA (different repo) |
| "Generate a scene whose composition matches THIS line-art reference" | Canny IC-LoRA (different repo) |
The IC-LoRAs are stackable with the character LoRA — load both, set adapter weights, and you get character identity + pose control simultaneously. Validated stack: char 0.9 + pose 1.0.
SyFeee/ltx2.3-chinese-drama-charlora — character / style LoRA, stackable with this IC-LoRA.SyFeee/ltx2.3-chinese-drama-iclora-depth — depth-controlled IC-LoRA.SyFeee/ltx2.3-chinese-drama-iclora-canny — canny-edge-controlled IC-LoRA.Apache 2.0. See LICENSE for terms.
Attribution: SyFe.