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.
Flux ControlNet
Flux ControlNet is a cutting-edge collection of models designed to enhance image generation tasks by integrating ControlNet with the Flux.1 model. Developed by Black Forest Labs, these models offer unparalleled control over the output, making them a game-changer in the field of AI-driven image generation.
Flux ControlNet allows for precise control over image composition by adding extra conditions to the diffusion models. This integration supports multiple models, including Canny, Pose, and Depth & Tile.
Flux ControlNet leverages the power of ControlNet to provide additional input conditions, such as edge maps and depth maps, to guide the image generation process. This allows for more detailed and accurate outputs, tailored to specific requirements.
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Canny ControlNet: Utilizes edge detection to define the structure of the generated image.
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Pose ControlNet: Utilizes detection and extraction of human pose keypoints from images.
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Depth ControlNet: Uses depth maps to add a sense of three-dimensionality to the images
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Tile Controlnet: Leverages tiling techniques which ensures the creation of coherent, large-scale images with exceptional detail and consistency
Use cases
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Canny ControlNet isIdeal for generating comic book art with bold outlines and ink-like strokes, or highlighting building structures and edges in architectural visualizations.
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Depth ControlNet is Well-suited for populating virtual reality environments with realistic textures or showcasing objects with accurate depth cues.
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Openpose ControlNet is particularly useful for animating characters with precise poses in character animation or creating virtual fashion models for showcasing clothing in fashion design.
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Tile ControlNet is Ideal for scenarios requiring expansive and detailed visual outputs.
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
sadtalker
Audio-based Lip Synchronization for Talking Head Video
illusion-diffusion-hq
Monster Labs QrCode ControlNet on top of SD Realistic Vision v5.1
codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
