Instructions to use PrunaAI/PrunaVAED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/PrunaVAED with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PrunaAI/PrunaVAED", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - LTX-2
How to use PrunaAI/PrunaVAED with LTX-2:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download PrunaAI/PrunaVAED --local-dir models/PrunaVAED hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/PrunaVAED/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/PrunaVAED/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/PrunaVAED/<checkpoint>.safetensors \ --distilled-lora models/PrunaVAED/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/PrunaVAED/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
Upload 20 files
Browse files- .gitattributes +20 -0
- example/Ltx23VAED/04MhZs7YN08-Scene-0048.mp4 +3 -0
- example/Ltx23VAED/7y57zc-GvBA-Scene-0009.mp4 +3 -0
- example/Ltx23VAED/8YSha7iU2ZI-Scene-1025.mp4 +3 -0
- example/Ltx23VAED/97moBezrzLo-Scene-0076.mp4 +3 -0
- example/Ltx23VAED/9GDE5-rOOfk-Scene-0010.mp4 +3 -0
- example/Ltx23VAED/DZt-RtpcJZQ-Scene-0043.mp4 +3 -0
- example/Ltx23VAED/FAfMSWi0FSA-Scene-0200.mp4 +3 -0
- example/Ltx23VAED/a5M8hWgQbjU-Scene-0191.mp4 +3 -0
- example/Ltx23VAED/ijGuAu0lLNM-Scene-0008.mp4 +3 -0
- example/Ltx23VAED/zFehFw9SbDw-Scene-0034.mp4 +3 -0
- example/PrunaVAED/04MhZs7YN08-Scene-0048.mp4 +3 -0
- example/PrunaVAED/7y57zc-GvBA-Scene-0009.mp4 +3 -0
- example/PrunaVAED/8YSha7iU2ZI-Scene-1025.mp4 +3 -0
- example/PrunaVAED/97moBezrzLo-Scene-0076.mp4 +3 -0
- example/PrunaVAED/9GDE5-rOOfk-Scene-0010.mp4 +3 -0
- example/PrunaVAED/DZt-RtpcJZQ-Scene-0043.mp4 +3 -0
- example/PrunaVAED/FAfMSWi0FSA-Scene-0200.mp4 +3 -0
- example/PrunaVAED/a5M8hWgQbjU-Scene-0191.mp4 +3 -0
- example/PrunaVAED/ijGuAu0lLNM-Scene-0008.mp4 +3 -0
- example/PrunaVAED/zFehFw9SbDw-Scene-0034.mp4 +3 -0
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