Instructions to use siraxe/Fast-paced_scene_slider_LTX2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siraxe/Fast-paced_scene_slider_LTX2.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("siraxe/Fast-paced_scene_slider_LTX2.3") prompt = "A man with short gray hair plays a red electric guitar." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Test slider lora v0.1
Trained on 3rd person view from behind moving in scene
Use Fast-paced scene. in prompt , set lora to 1.5-5 to get faster movement
- Downloads last month
- 45
Model tree for siraxe/Fast-paced_scene_slider_LTX2.3
Base model
Lightricks/LTX-2.3