{"node":{"id":"urn:cid:bafkr4ihh57vo2fq2imhen3ak6i6pksohtlqwhoctcvjrqhbypzunmbv6j4","properties":{"dataRegistrationJcs":"urn:cid:baga6yaq6eakw4oxifelrw4kvr4o6tjdwytie4hgzp5pozzdk76ozoz6f22dwg","registeredBy":"did:key:z6MkhQD1A9eMQ8bZNGmBiCVz7kG4mfnApD7WjHKNhkZp7HEY","nodeType":"data","timestamp":"2024-01-29T16:00:22Z"}},"enrichments":{"asset_hub":{"asset_id":102,"asset_name":"SDXL-Turbo","owning_project":"Stability AI","asset_description":"SDXL-Turbo is a distilled version of SDXL 1.0, trained for real-time synthesis. It uses Adversarial Diffusion Distillation (ADD) for sampling large-scale foundational image diffusion models in 1 to 4 steps with high image quality. This approach combines score distillation with an adversarial loss, leveraging large-scale image diffusion models as a teacher signal to ensure high fidelity in low-step sampling.","asset_format":"PyTorch","asset_type":"Model","asset_blob_type":"iroh-collection","source_location_url":"","contact_info":"Refer to the official Stability AI channels or the technical report for contact information.","license":"sai-nc-community","license_link":"https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.TXT","registered_date":"2024-01-29T16:00:32.147672Z","last_modified_date":"2024-01-29T16:00:32.147672Z"}}}