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.
Wan2.1 Image to Video (480p)
Wan2.1 is a cutting-edge video foundation model that excels in image-to-video generation 480p and outperforms existing open-source and state-of-the-art commercial solutions
Key Features of Wan2.1 (480p)
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SOTA Performance: Consistently outperforms existing open-source and commercial models across multiple benchmarks.
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Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information.
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Architecture: Designed on the mainstream diffusion transformer paradigm with innovations like a novel spatio-temporal variational autoencoder (VAE).
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Data: Trained on a vast amount of curated and deduplicated image and video data, processed through a four-step data cleaning process.
Additional Information
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The models are licensed under the Apache 2.0 License, granting freedom of use while ensuring compliance with the license provisions.
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The model is capable of generating videos at 720P resolution; however, the results are generally less stable compared to 480P due to limited training at that resolution. It is recommended to use 480P resolution for optimal performance.
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Extensive manual evaluations confirm that Wan2.1 outperforms both closed-source and open-source models
Other Popular Models
sdxl-controlnet
SDXL ControlNet gives unprecedented control over text-to-image generation. SDXL ControlNet models Introduces the concept of conditioning inputs, which provide additional information to guide the image generation process
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
codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
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
