Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
LTX-Video is an innovative video generation model developed by Lightricks, leveraging a DiT (Diffusion Transformer) architecture to produce high-quality videos in real-time. Capable of generating 24 frames per second (FPS) at a resolution of 768x512, this model is designed for efficiency, producing content faster than viewing time. Trained on a diverse and extensive dataset, LTX-Video excels in creating realistic and varied video content, making it a significant advancement in the field of AI-generated media.
Real-Time Generation: Generates videos at 24 FPS, ensuring seamless playback.
High Resolution: Produces videos at 768x512 resolution, suitable for various applications.
Diverse Content Creation: Trained on a large-scale dataset to ensure a wide range of video styles and themes.
To maximize the effectiveness of LTX-Video, crafting detailed prompts is essential. Consider the following structure:
Start with the main action.
Include specific movements and gestures.
Describe character and object appearances precisely.
Add background and environmental details.
Specify camera angles and movements.
Detail lighting and color schemes.
Note any significant changes or events.
This structured approach will enhance the quality of generated videos by providing clear guidance to the model.
Resolution Preset: Use resolutions divisible by 32; keep below 720x1280 for optimal performance.
Guidance Scale: Recommended values between 3 and 3.5 for balanced output
Inference Steps: Use more than 40 steps for quality; fewer than 30 for speed
Story Diffusion turns your written narratives into stunning image sequences.
This model is capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training