Text-to-Image
Diffusers
English
ltx-video
ltx-2.3
text-to-video
video-to-video
lora
ic-lora
template:diffusion-lora
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
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