LTX Video 0.9.7 Distilled
The first real-time high-quality video generation model based on DiT architecture, supporting 1216×704 resolution at 30FPS
Downloads 208
Release Time : 5/14/2025
Model Overview
A text/image-to-video generation system based on diffusion models, achieving real-time HD video generation through large-scale dataset training
Model Features
Real-time HD generation
Capable of generating videos at 1216×704 resolution, 30 frames per second, faster than playback speed
Dual-mode input
Supports both text prompts and image input for generation
High-quality output
Trained on large-scale diverse video datasets to generate realistic and rich HD videos
Model Capabilities
Text-to-video generation
Image-to-video generation
High-resolution video synthesis
Real-time video rendering
Use Cases
Creative content production
Short video creation
Automatically generates creative short video content based on text descriptions
Produces 720P-1080P HD videos
Image animation
Transforms static images into dynamic videos
Adds reasonable motion effects while preserving original composition
Marketing material production
Ad video generation
Quickly generates product showcase videos
Supports multi-angle displays and scene transitions
🚀 LTX-Video 0.9.7 Distilled Model Card
This model card focuses on the model associated with the LTX-Video model. The codebase is available here. LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. It can produce 30 FPS videos at a 1216×704 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model can generate high-resolution videos with realistic and varied content. We offer a model for both text-to-video and image+text-to-video use cases.

✨ Features
- Real - time High - quality Video Generation: It's the first DiT - based model capable of real - time high - quality video generation.
- High - speed and High - resolution: Produces 30 FPS videos at a 1216×704 resolution rapidly.
- Diverse Content Generation: Trained on a large - scale diverse video dataset to generate videos with realistic and varied content.
- Multiple Use Cases: Suitable for both text - to - video and image+text - to - video scenarios.
📚 Documentation
Model Examples
![]() A woman with long brown hair and light skin smiles at another woman...A woman with long brown hair and light skin smiles at another woman with long blonde hair. The woman with brown hair wears a black jacket and has a small, barely noticeable mole on her right cheek. The camera angle is a close - up, focused on the woman with brown hair's face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real - life footage. |
![]() A woman walks away from a white Jeep parked on a city street at night...A woman walks away from a white Jeep parked on a city street at night, then ascends a staircase and knocks on a door. The woman, wearing a dark jacket and jeans, walks away from the Jeep parked on the left side of the street, her back to the camera; she walks at a steady pace, her arms swinging slightly by her sides; the street is dimly lit, with streetlights casting pools of light on the wet pavement; a man in a dark jacket and jeans walks past the Jeep in the opposite direction; the camera follows the woman from behind as she walks up a set of stairs towards a building with a green door; she reaches the top of the stairs and turns left, continuing to walk towards the building; she reaches the door and knocks on it with her right hand; the camera remains stationary, focused on the doorway; the scene is captured in real - life footage. |
![]() A woman with blonde hair styled up, wearing a black dress...A woman with blonde hair styled up, wearing a black dress with sequins and pearl earrings, looks down with a sad expression on her face. The camera remains stationary, focused on the woman's face. The lighting is dim, casting soft shadows on her face. The scene appears to be from a movie or TV show. |
![]() The camera pans over a snow - covered mountain range...The camera pans over a snow - covered mountain range, revealing a vast expanse of snow - capped peaks and valleys.The mountains are covered in a thick layer of snow, with some areas appearing almost white while others have a slightly darker, almost grayish hue. The peaks are jagged and irregular, with some rising sharply into the sky while others are more rounded. The valleys are deep and narrow, with steep slopes that are also covered in snow. The trees in the foreground are mostly bare, with only a few leaves remaining on their branches. The sky is overcast, with thick clouds obscuring the sun. The overall impression is one of peace and tranquility, with the snow - covered mountains standing as a testament to the power and beauty of nature. |
![]() A woman with light skin, wearing a blue jacket and a black hat...A woman with light skin, wearing a blue jacket and a black hat with a veil, looks down and to her right, then back up as she speaks; she has brown hair styled in an updo, light brown eyebrows, and is wearing a white collared shirt under her jacket; the camera remains stationary on her face as she speaks; the background is out of focus, but shows trees and people in period clothing; the scene is captured in real - life footage. |
![]() A man in a dimly lit room talks on a vintage telephone...A man in a dimly lit room talks on a vintage telephone, hangs up, and looks down with a sad expression. He holds the black rotary phone to his right ear with his right hand, his left hand holding a rocks glass with amber liquid. He wears a brown suit jacket over a white shirt, and a gold ring on his left ring finger. His short hair is neatly combed, and he has light skin with visible wrinkles around his eyes. The camera remains stationary, focused on his face and upper body. The room is dark, lit only by a warm light source off - screen to the left, casting shadows on the wall behind him. The scene appears to be from a movie. |
![]() A prison guard unlocks and opens a cell door...A prison guard unlocks and opens a cell door to reveal a young man sitting at a table with a woman. The guard, wearing a dark blue uniform with a badge on his left chest, unlocks the cell door with a key held in his right hand and pulls it open; he has short brown hair, light skin, and a neutral expression. The young man, wearing a black and white striped shirt, sits at a table covered with a white tablecloth, facing the woman; he has short brown hair, light skin, and a neutral expression. The woman, wearing a dark blue shirt, sits opposite the young man, her face turned towards him; she has short blonde hair and light skin. The camera remains stationary, capturing the scene from a medium distance, positioned slightly to the right of the guard. The room is dimly lit, with a single light fixture illuminating the table and the two figures. The walls are made of large, grey concrete blocks, and a metal door is visible in the background. The scene is captured in real - life footage. |
![]() A woman with blood on her face and a white tank top...A woman with blood on her face and a white tank top looks down and to her right, then back up as she speaks. She has dark hair pulled back, light skin, and her face and chest are covered in blood. The camera angle is a close - up, focused on the woman's face and upper torso. The lighting is dim and blue - toned, creating a somber and intense atmosphere. The scene appears to be from a movie or TV show. |
![]() A man with graying hair, a beard, and a gray shirt...A man with graying hair, a beard, and a gray shirt looks down and to his right, then turns his head to the left. The camera angle is a close - up, focused on the man's face. The lighting is dim, with a greenish tint. The scene appears to be real - life footage. Step |
![]() A clear, turquoise river flows through a rocky canyon...A clear, turquoise river flows through a rocky canyon, cascading over a small waterfall and forming a pool of water at the bottom.The river is the main focus of the scene, with its clear water reflecting the surrounding trees and rocks. The canyon walls are steep and rocky, with some vegetation growing on them. The trees are mostly pine trees, with their green needles contrasting with the brown and gray rocks. The overall tone of the scene is one of peace and tranquility. |
![]() A man in a suit enters a room and speaks to two women...A man in a suit enters a room and speaks to two women sitting on a couch. The man, wearing a dark suit with a gold tie, enters the room from the left and walks towards the center of the frame. He has short gray hair, light skin, and a serious expression. He places his right hand on the back of a chair as he approaches the couch. Two women are seated on a light - colored couch in the background. The woman on the left wears a light blue sweater and has short blonde hair. The woman on the right wears a white sweater and has short blonde hair. The camera remains stationary, focusing on the man as he enters the room. The room is brightly lit, with warm tones reflecting off the walls and furniture. The scene appears to be from a film or television show. |
![]() The waves crash against the jagged rocks of the shoreline...The waves crash against the jagged rocks of the shoreline, sending spray high into the air.The rocks are a dark gray color, with sharp edges and deep crevices. The water is a clear blue - green, with white foam where the waves break against the rocks. The sky is a light gray, with a few white clouds dotting the horizon. |
![]() The camera pans across a cityscape of tall buildings...The camera pans across a cityscape of tall buildings with a circular building in the center. The camera moves from left to right, showing the tops of the buildings and the circular building in the center. The buildings are various shades of gray and white, and the circular building has a green roof. The camera angle is high, looking down at the city. The lighting is bright, with the sun shining from the upper left, casting shadows from the buildings. The scene is computer - generated imagery. |
![]() A man walks towards a window, looks out, and then turns around...A man walks towards a window, looks out, and then turns around. He has short, dark hair, dark skin, and is wearing a brown coat over a red and gray scarf. He walks from left to right towards a window, his gaze fixed on something outside. The camera follows him from behind at a medium distance. The room is brightly lit, with white walls and a large window covered by a white curtain. As he approaches the window, he turns his head slightly to the left, then back to the right. He then turns his entire body to the right, facing the window. The camera remains stationary as he stands in front of the window. The scene is captured in real - life footage. |
![]() Two police officers in dark blue uniforms and matching hats...Two police officers in dark blue uniforms and matching hats enter a dimly lit room through a doorway on the left side of the frame. The first officer, with short brown hair and a mustache, steps inside first, followed by his partner, who has a shaved head and a goatee. Both officers have serious expressions and maintain a steady pace as they move deeper into the room. The camera remains stationary, capturing them from a slightly low angle as they enter. The room has exposed brick walls and a corrugated metal ceiling, with a barred window visible in the background. The lighting is low - key, casting shadows on the officers' faces and emphasizing the grim atmosphere. The scene appears to be from a film or television show. |
![]() A woman with short brown hair, wearing a maroon sleeveless top...A woman with short brown hair, wearing a maroon sleeveless top and a silver necklace, walks through a room while talking, then a woman with pink hair and a white shirt appears in the doorway and yells. The first woman walks from left to right, her expression serious; she has light skin and her eyebrows are slightly furrowed. The second woman stands in the doorway, her mouth open in a yell; she has light skin and her eyes are wide. The room is dimly lit, with a bookshelf visible in the background. The camera follows the first woman as she walks, then cuts to a close - up of the second woman's face. |
📄 License
The license of this model is other
.
Xclip Base Patch32
MIT
X-CLIP is an extended version of CLIP for general video-language understanding, trained on (video, text) pairs via contrastive learning, suitable for tasks like video classification and video-text retrieval.
Text-to-Video
Transformers English

X
microsoft
309.80k
84
LTX Video
Other
The first DiT-based video generation model capable of real-time generation of high-quality videos, supporting two scenarios: text-to-video and image + text-to-video.
Text-to-Video English
L
Lightricks
165.42k
1,174
Wan2.1 14B VACE GGUF
Apache-2.0
The GGUF format version of the Wan2.1-VACE-14B model, mainly used for text-to-video generation tasks.
Text-to-Video
W
QuantStack
146.36k
139
Animatediff Lightning
Openrail
Ultra-fast text-to-video model, generating videos over ten times faster than the original AnimateDiff
Text-to-Video
A
ByteDance
144.00k
925
V Express
V-Express is an audio and facial keypoint condition-based video generation model capable of converting audio input into dynamic video output.
Text-to-Video English
V
tk93
118.36k
85
Cogvideox 5b
Other
CogVideoX is the open-source version of the video generation model derived from Qingying, providing high-quality video generation capabilities.
Text-to-Video English
C
THUDM
92.32k
611
Llava NeXT Video 7B Hf
LLaVA-NeXT-Video is an open-source multimodal chatbot that achieves excellent video understanding capabilities through mixed training on video and image data, reaching SOTA level among open-source models on the VideoMME benchmark.
Text-to-Video
Transformers English

L
llava-hf
65.95k
88
Wan2.1 T2V 14B Diffusers
Apache-2.0
Wan2.1 is a comprehensive open-source video foundation model designed to push the boundaries of video generation, supporting tasks such as text-to-video in Chinese and English, image-to-video, and more.
Text-to-Video Supports Multiple Languages
W
Wan-AI
48.65k
24
Wan2.1 T2V 1.3B Diffusers
Apache-2.0
Wan 2.1 is a comprehensive open-source video foundation model featuring top-tier performance, consumer-grade GPU support, multi-task capabilities, visual-text generation, and efficient video VAE.
Text-to-Video Supports Multiple Languages
W
Wan-AI
45.29k
38
Wan2.1 T2V 14B
Apache-2.0
Wan 2.1 is a comprehensive open-source video foundation model capable of multiple tasks including text-to-video, image-to-video, video editing, text-to-image, and video-to-audio generation, with support for bilingual Chinese-English text input.
Text-to-Video Supports Multiple Languages
W
Wan-AI
44.88k
1,238
Featured Recommended AI Models