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Lightricks/LTX-Video: Official repository for LTX-Video - GitHub
LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. It can generate 24 FPS videos at 768x512 resolution, faster than it takes to watch them. The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content.
[arXiv 2024] Taming Multimodal Joint Training for High-Quality Video-to ...
Supports video-to-audio and text-to-audio synthesis. You can also try experimental image-to-audio synthesis which duplicates the input image to a video for processing. This might be interesting to some but it is not something MMAudio has been trained for. Use port forwarding (e.g., ssh -L 7860:localhost:7860 server) if necessary.
HunyuanVideo: A Systematic Framework For Large Video ... - GitHub
We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models. In order to train HunyuanVideo model, we adopt several key technologies for model learning, including data ...
GitHub - k4yt3x/video2x: A machine learning-based video super ...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
【EMNLP 2024 】Video-LLaVA: Learning United Visual ... - GitHub
[2024.09.25] 🔥🔥🔥 Our Video-LLaVA has been accepted at EMNLP 2024! We earn the meta score of 4. [2024.07.27] 🔥🔥🔥 A fine-tuned Video-LLaVA focuses on theme exploration, narrative analysis, and character dynamics.
Download 4K Video Downloader 4.31.0.0091 Crack With License Key [2024]
4K Video Downloader Crack Crack 4K Video Downloader 4.31.0.0091 Crack provides a comprehensive solution for downloading video content from various websites. Simply navigate to the desired website, click to select your preferred format and resolution, and download the file effortlessly.
GitHub - DAMO-NLP-SG/Video-LLaMA: [EMNLP 2023 Demo] Video-LLaMA: An ...
A two-layer video Q-Former and a frame embedding layer (applied to the embeddings of each frame) are introduced to compute video representations. We train VL Branch on the Webvid-2M video caption dataset with a video-to-text generation task.
Lightricks/ComfyUI-LTXVideo: LTX-Video Support for ComfyUI - GitHub
ComfyUI-LTXVideo is a collection of custom nodes for ComfyUI designed to integrate the LTXVideo diffusion model. These nodes enable workflows for text-to-video, image-to-video, and video-to-video generation. The main LTXVideo repository can be found here.
ytdl-org/youtube-dl - GitHub
-f, --format FORMAT Video format code, see the "FORMAT SELECTION" for all the info --all-formats Download all available video formats --prefer-free-formats Prefer free video formats unless a specific one is requested -F, --list-formats List all available formats of requested videos --youtube-skip-dash-manifest Do not download the DASH manifests ...
GitHub - kijai/ComfyUI-HunyuanVideoWrapper
Now you can feed image to the VLM as condition of generations! This is different from image2video where the image become the first frame of the video. IP2V uses image as a part of the prompt, to extract the concept and style of the image. So - very much like IPAdapter - but VLM will do the heavy lifting for you!
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