PixelFlow allows you to use all these features
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.
Segmented Creation Workflow
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customized Output
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Layering Different Models
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Workflow APIs
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
Luma Ray2 Text-to-Video
Luma Ray2 text-to-video is a large-scale video generative model that produces realistic visuals with natural, coherent motion using text descriptions. Ray2 is trained on Luma’s new multi-modal architecture and scaled to 10x compute of Ray1. Ray2 is capable of producing fast coherent motion, ultra-realistic details, and logical event sequences. This increases the success rate of usable generations and makes videos generated by Ray2 substantially more production-ready.
Key Features of Luma Ray2 Text-to-Video
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Realistic Visuals: Creates videos with text descriptions.
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Coherent Motion: Generates natural and consistent movement within the video.
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Advanced Capabilities: Exhibits advanced capabilities as a result of being trained on Luma’s new multi-modal architecture scaled to 10x compute of Ray1.
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Production-Ready: Produces videos suitable for professional use due to increased success rates.
Functionality of Luma Ray2 Text-to-Video
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Text Instruction Understanding: Accurately interprets text instructions to generate relevant video content.
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Fast Coherent Motion: Produces videos with fast and coherent motion.
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Ultra-Realistic Details: Generates videos with ultra-realistic details.
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Logical Event Sequences: Creates videos with logical event sequences
Other Popular Models
sdxl-img2img
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers
faceswap-v2
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
insta-depth
InstantID aims to generate customized images with various poses or styles from only a single reference ID image while ensuring high fidelity
sd2.1-faceswapper
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
