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.
Mixtral 8x22B is the latest open model by Mistral AI. It sets a new standard for performance and efficiency within the AI community. It is a sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
Mixtral 8x22B comes with the following strengths:
It is fluent in English, French, Italian, German, and Spanish It has strong mathematics and coding capabilities It is natively capable of function calling; along with the constrained output mode implemented on la Plateforme, this enables application development and tech stack modernisation at scale Its 64K tokens context window allows precise information recall from large documents
We believe in the power of openness and broad distribution to promote innovation and collaboration in AI.
We are, therefore, releasing Mixtral 8x22B under Apache 2.0, the most permissive open-source licence, allowing anyone to use the model anywhere without restrictions.
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
Audio-based Lip Synchronization for Talking Head Video
Turn a face into 3D, emoji, pixel art, video game, claymation or toy
InstantID aims to generate customized images with various poses or styles from only a single reference ID image while ensuring high fidelity