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To load an ONNX model and run inference with ONNX Runtime, you need to replace StableDiffusionXLPipeline with Optimum ORTStableDiffusionXLPipeline. In case you want to load a PyTorch model and convert it to the ONNX format on-the-fly, you can set export=True.
How to Download and Use the Stable Diffusion XL model. Stability AI has made a significant stride in the world of AI by releasing the groundbreaking Stable Diffusion XL (SDXL) model on the HuggingFace platform. Now, you can easily download and explore the advanced capabilities of AI image synthesis.
Download Stable Diffusion XL. Finally, the day has come. Stability AI has released the SDXL model into the wild. The model is available for download on HuggingFace. Click here to download the SDXL 1.0 base model.
Stable Diffusion v2 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 865M UNet and OpenCLIP ViT-H/14 text encoder for the diffusion model.
The new SDWebUI version 1.5.1 has been released, offering support for the SDXL model. Now, you can directly use the SDXL model without the need for any manual settings. photorealistic outputs...
Stable Diffusion XL (SDXL) is an open-source diffusion model, the long waited upgrade to Stable Diffusion v2.1. It is created by Stability AI. It has a base resolution of 1024x1024 pixels. It’s significantly better than previous Stable Diffusion models at realism.
Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways: the UNet is 3x larger and SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters
To learn how to use SDXL for various tasks, how to optimize performance, and other usage examples, take a look at the Stable Diffusion XL guide. Check out the Stability AI Hub organization for the official base and refiner model checkpoints!
Stable Diffusion XL (SDXL) is a powerful text-to-image generation model. Compared to Stable Diffusion V1 and V2, Stable Diffusion XL has made the following optimizations: Improvements have been made to the U-Net, VAE, and CLIP Text Encoder components of Stable Diffusion. The UNext is 3x larger.
Japanese Stable Diffusion XL. A text-to-image model that emphasizes Japanese input to better understand Japanese culture. It comprehends Japanese expressions better than traditional English models, allowing for high-quality image generation that feels native. Download Code. Get License.