This document contains an history of all changes to the API.

• 2023-Mar-08: added prompt weighting (more details: https://rapidapi.com/dezgo/api/dezgo/tutorials/prompt-weighting-(attention-%2F-emphasis))
• 2023-Mar-02: revamped the model list and associated documentation: https://rapidapi.com/dezgo/api/dezgo/tutorials/list-of-all-image-generation-models
• 2023-Feb-26: the total number of supported diffusion models is now 57 + added a new “models” field in /info to be able to retrieve metadata about each model
• 2023-Feb-10: support for request parameters serialized as JSON (in addition to FormData / Multipart)
• 2023-Jan-07: added 7 new finetuned models:
  • synthwavepunk_v2
  • redshift_diffusion
  • analog_diffusion
  • disco_diffusion_style
  • iconsmi_appiconsmodelforsd
  • lowpoly_world
  • vintedois_diffusion_v0_1
• 2022-Dec-21: added Real-ESRGAN upscaling, as a parameter on existing methods and as a new standalone /upscale method.
• 2022-Dec-13:
  • multi-model selection for text2image/image2image (SD 1.4/1.5/SD 2.0 512px/SD 2.0 768px/SD 2.1 512px/SD 2.1 768px/WaifuDiffusion 1.3/Anything3.0/Trinart2.0)
  • specialized inpainting models (SD-inpaint-1/SD-inpaint-2)
  • negative_prompt
  • new samplers: DPM, Euler, Euler-Ancestral
  • default settings: DPM sampler with 30 steps
  • image resolutions can now be a multiple of 8px (instead of 64px previously)
• 2022-Oct-22: upgrade the model to Stable Diffusion v1.5 + new finetuned autoencoder f8-ft-MSE. This provides incremental improvements to fine details like eyes, teeth, hands but also overall composition/proportions.
• 2022-Oct-13: reduced minimum resolution to 320x320
• 2022-Sep-18: added new methods: “image2image” and “inpainting”
• 2022-Sep-17: added new “sampler” field with possible values: “k_lms”, “ddim”, “pndm”
• 2022-Sep-17: bump the range of possible seed values to 4294967295 (unsigned 32-bit integer)
• 2022-Sep-07: added response header x-input-seed, containing the seed used to generate the image (which can either be randomly generated by the API or chosen by the user)