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Here are some popular generative model APIs that you can use in your application.
This model corresponds to the ControlNet conditioned on Human Pose Estimation.
This model corresponds to the ControlNet conditioned on Depth estimation.
This is a model that can be used to generate and modify images based on text prompts. It is a Latent Diffusion Model that uses a fixed, pretrained text encoder (OpenCLIP-ViT/H).
This model uses diffusion-denoising mechanism as first proposed by SDEdit, Stable Diffusion 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.
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Segmind's optimizations helping you get the most cost-effective inferences, paid per API call.
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