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 Settings
- Draw Things
Upload LTX2.3_Fast-paced_scene_slider_v01.safetensors
Browse files
LTX2.3_Fast-paced_scene_slider_v01.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aab0dfeceed2224da6e384ce6b60ccdfccc5075123867c4cdfbda58f7ae0da59
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size 100768312
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