neoSVG

Chroma is an 8.9 billion parameter text-to-image model developed by WaveSpeed AI, built on the FLUX.1-schnell architecture. It was trained using over 105,000 hours of NVIDIA H100 GPU time, with a dataset curated from 5 million selected images. The model is designed around a philosophy of unrestricted creative expression, removing the content filters found on many mainstream image generation platforms. It supports image output up to 1536×1536 pixels and is noted for clean renders, natural lighting, strong color harmony, and anatomical accuracy in human figures, hands, and faces.

SDXL (Stable Diffusion XL) is an open-source image generation model developed by Stability AI and released in July 2023. It accepts text prompts and optional image inputs to produce images, and supports workflows including text-to-image generation, image-to-image editing, and inpainting. The model is available in two configurations: SDXL 1.0, optimized for out-of-the-box use, and SDXL 1.0 Open, which allows fine-tuning with custom data and inference code. Both variants are deployable via AWS SageMaker and Amazon Bedrock.

SDXL LoRA is a text-to-image generative AI model developed by Stability AI, built as a successor to Stable Diffusion. It runs on a 3.5 billion parameter architecture and generates images natively at 1024×1024 resolution, using dual text encoders — OpenCLIP-ViT/G and CLIP-ViT/L — to interpret complex prompts with reported 89% prompt adherence in benchmark testing. The model also supports an optional refiner stage that applies an ensemble-of-experts approach to add fine detail to generated outputs.

Stable Diffusion 3 (SD3) is a text-to-image generation model developed by Stability AI and released in June 2024. It introduces a Multimodal Diffusion Transformer (MMDiT) architecture that maintains separate weight sets for image and language representations, which improves the model's ability to interpret complex, detailed prompts. The model is available in multiple size variants ranging from 800 million to 8 billion parameters, making it deployable across a range of hardware configurations.