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Playground V2.5 is a diffusion-based text-to-image generative model, designed to create highly aesthetic images based on textual prompts. As the successor to Playground V2, it represents the state-of-the-art in open-source aesthetic quality. Playground v2.5 excels at producing visually attractive images. It achieves this through advancements in color, contrast and human details.
Model Type: Playground V2.5 operates as a Latent Diffusion Model.
Text Encoders: It utilizes two fixed, pre-trained text encoders: OpenCLIP-ViT/G and CLIP-ViT/L.
Architecture: The model follows the same architecture as Stable Diffusion XL.
Resolution: Playground V2.5 generates images at a resolution of 1024x1024 pixels, catering to both portrait and landscape aspect ratios.
Scheduler Options: The default scheduler is EDMDPMSolver Multistep Scheduler, which enhances fine details. A guidance scale of 3.0 works well with this scheduler.
Playground V2.5 outperforms SDXL, PixArt-α, DALL-E 3, Midjourney 5.2, and even its predecessor, Playground V2.
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
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
Story Diffusion turns your written narratives into stunning image sequences.
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.