Instructions to use OmerHagage/ltx2-greenscreen-avatar-ic-lora-vertical-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OmerHagage/ltx2-greenscreen-avatar-ic-lora-vertical-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("OmerHagage/ltx2-greenscreen-avatar-ic-lora-vertical-v1") prompt = "A person talking directly to the camera against a flat green chroma-key background. Natural lip sync, occasional blinks, subtle head movements. Soft natural lighting, photorealistic, sharp focus, stable framing." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
LTX-2.3 Greenscreen Avatar β IC-LoRA
Vertical talking-head avatars on a flat green chroma-key background β ready to composite.
An In-Context LoRA (IC-LoRA) for Lightricks/LTX-2.3,
trained on top of the ltx-2.3-22b-dev.safetensors checkpoint. It specializes the base
model in generating vertical talking-head avatars on a flat green chroma-key background,
ready for compositing in downstream video pipelines.
| Property | Value |
|---|---|
| Base model | Lightricks/LTX-2.3 (ltx-2.3-22b-dev.safetensors) |
| Adapter type | IC-LoRA (in-context LoRA) |
| Orientation | Vertical (portrait) |
| Task | Video-to-video / text-to-video |
| Weights | lora_weights_step_05000.safetensors |
Samples
Prompt used for all samples
"A person talking directly to the camera against a flat green chroma-key background. Natural lip sync, occasional blinks, subtle head movements. Soft natural lighting, photorealistic, sharp focus, stable framing."
High-quality example β input generation β green-screen output (side-by-side comparison):
Model Details
- Developed by: Lightricks (fine-tune)
- Base model:
Lightricks/LTX-2.3βltx-2.3-22b-dev.safetensors - Adapter type: In-Context LoRA (IC-LoRA)
- Trainer: LTX-2
Training
| Hyperparameter | Value |
|---|---|
| Training type | IC-LoRA fine-tuning |
| Training steps | 5,000 |
| Learning rate | 2e-4 |
| Batch size | 1 |
Intended Use
This IC-LoRA is built for producing vertical talking-head avatars on a clean green chroma-key background, so the subject can be keyed out and composited onto any background. Use cases include:
- Avatar & presenter clips β short, front-facing talking-head shots with natural lip sync, blinks, and subtle head movement.
- Greenscreen compositing β the flat chroma-key background makes keying and background replacement straightforward in any editor.
- Vertical / portrait content β sized for mobile-first formats such as Reels, Shorts, and TikTok.
Usage
This adapter is designed for the LTX-2.3 (Lightricks audio-video) pipeline and can be used
with the standard LTX-2.3 tooling (ComfyUI or diffusers).
π Using Trained LoRAs in ComfyUI
In order to use this LoRA in ComfyUI, follow these steps:
- Copy
lora_weights_step_05000.safetensorsto themodels/lorasfolder in your ComfyUI installation. - In your ComfyUI workflow:
- Add the "Load LoRA" node and select
lora_weights_step_05000.safetensors - Connect it to the "Load Checkpoint" node (
ltx-2.3-22b-dev.safetensors) to apply the LoRA to the base model
- Add the "Load LoRA" node and select
You can find reference Text-to-Video (T2V) and Image-to-Video (I2V) workflows in the official LTX-2 repository.
License
This adapter is released under the MIT license and is intended to be used together with
the base model, Lightricks/LTX-2.3. Please
review and comply with the base model's own license before use.
Acknowledgments
- Base model: Lightricks/LTX-2.3
- Trainer: LTX-2
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Model tree for OmerHagage/ltx2-greenscreen-avatar-ic-lora-vertical-v1
Base model
Lightricks/LTX-2.3