Instructions to use ovi054/ovimxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovi054/ovimxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovi054/ovimxl", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
ovimxl
This is a fine-tuned version of ltx-2-19b-dev.safetensors trained on custom data.
Model Details
- Base Model:
ltx-2-19b-dev.safetensors - Training Type: LoRA fine-tuning
- Training Steps: 2000
- Learning Rate: 0.0002
- Batch Size: 1
Sample Outputs
Usage
This model is designed to be used with the LTX-2 (Lightricks Audio-Video) pipeline.
π Using Trained LoRAs in ComfyUI
In order to use the trained LoRA in ComfyUI, follow these steps:
- Copy your trained LoRA checkpoint (
.safetensorsfile) to themodels/lorasfolder in your ComfyUI installation. - In your ComfyUI workflow:
- Add the "Load LoRA" node to choose your LoRA file
- Connect it to the "Load Checkpoint" node to apply the LoRA to the base model
You can find reference Text-to-Video (T2V) and Image-to-Video (I2V) workflows in the official LTX-2 repository.
Example Prompts
Example prompts used during validation:
A man with long dark hair sits at a wooden desk in a cozy home office, typing on a laptop while occasionally glancing at notes beside her. Soft natural light streams through a large window, casting warm shadows across the room. He pauses to take a sip from a ceramic mug, then continues working with focused concentration. The audio captures the gentle clicking of keyboard keys, the soft rustle of papers, and ambient room tone with occasional distant bird chirps from outside.
This model inherits the license of the base model (ltx-2-19b-dev.safetensors).
Acknowledgments
- Base model: Lightricks
- Trainer: LTX-2
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