# frozen_string_literal: true require 'faraday' module GenAI class Image class StabilityAI < Base DEFAULT_SIZE = '256x256' API_BASE_URL = 'https://api.stability.ai' DEFAULT_MODEL = 'stable-diffusion-xl-beta-v2-2-2' UPSCALE_MODEL = 'stable-diffusion-x4-latent-upscaler' def initialize(token:, options: {}) build_client(token) end def generate(prompt, options = {}) model = options[:model] || DEFAULT_MODEL url = "/v1/generation/#{model}/text-to-image" response = client.post url, build_generation_body(prompt, options) build_result( raw: response, model: model, parsed: parse_response_data(response['artifacts']) ) end def edit(image, prompt, options = {}) model = options[:model] || DEFAULT_MODEL url = "/v1/generation/#{model}/image-to-image" response = client.post url, build_edit_body(image, prompt, options), multipart: true build_result( raw: response, model: model, parsed: parse_response_data(response['artifacts']) ) end def upscale(image, options = {}) model = options[:model] || UPSCALE_MODEL url = "/v1/generation/#{model}/image-to-image/upscale" response = client.post url, build_upscale_body(image, options), multipart: true build_result( raw: response, model: model, parsed: parse_response_data(response['artifacts']) ) end private def build_client(token) @client = GenAI::Api::Client.new(url: API_BASE_URL, token: token) end def build_generation_body(prompt, options) w, h = size(options) { text_prompts: [{ text: prompt }], height: h, width: w }.merge(options) end def build_edit_body(image, prompt, options) params = { init_image: File.binread(image), 'text_prompts[0][text]' => prompt, 'text_prompts[0][weight]' => 1.0 } params.merge!(mask: File.binread(options.delete(:mask))) if options[:mask] params.merge(options) end def build_upscale_body(image, options) w, = size(options) { image: File.binread(image), width: w }.merge(options) end def size(options) size = options.delete(:size) || DEFAULT_SIZE size.split('x').map(&:to_i) end def parse_response_data(data) data.map { |artifact| Base64.decode64(artifact['base64']) } end end end end