import {z} from 'zod' export type PopInputStable = {name?: string | undefined, priority_usernames?: Array | undefined, nsfw?: boolean | undefined, models?: Array | undefined, bridge_agent?: string | undefined, threads?: number | undefined, require_upfront_kudos?: boolean | undefined, amount?: number | undefined, max_pixels?: number | undefined, blacklist?: Array | undefined, allow_img2img?: boolean | undefined, allow_painting?: boolean | undefined, allow_unsafe_ipaddr?: boolean | undefined, allow_post_processing?: boolean | undefined, allow_controlnet?: boolean | undefined, allow_lora?: boolean | undefined}; export type CreateApiV2GeneratePopArgs = {apikey: string, 'X-Fields'?: unknown | undefined, body: PopInputStable}; export type CreateApiV2GeneratePopOptions = {baseUrl: string, fetch?: typeof fetch | undefined}; export const modelPayloadLorasStable = z.object({name: z.string().min(1).max(255), model: z.number().gte(-5).lte(5).optional(), clip: z.number().gte(-5).lte(5).optional(), inject_trigger: z.string().min(1).max(30).optional(), is_version: z.boolean().optional()}); export const modelPayloadTextualInversionsStable = z.object({name: z.string().min(1).max(255), inject_ti: z.enum(["prompt", "negprompt"]).optional(), strength: z.number().gte(-5).lte(5).optional()}); export const modelSpecialPayloadStable = z.object({"*": z.record(z.string(), z.object({})).optional()}); export const modelPayloadStable = z.object({sampler_name: z.enum(["k_euler", "lcm", "k_euler_a", "k_dpmpp_2s_a", "DDIM", "dpmsolver", "k_lms", "k_dpm_fast", "k_dpmpp_sde", "k_dpm_2", "k_dpm_2_a", "k_dpm_adaptive", "k_heun", "k_dpmpp_2m"]).optional(), cfg_scale: z.number().gte(0).lte(100).optional(), denoising_strength: z.number().gte(0.01).lte(1).optional(), seed: z.string().optional(), height: z.number().int().gte(64).lte(3072).multipleOf(64).optional(), width: z.number().int().gte(64).lte(3072).multipleOf(64).optional(), seed_variation: z.number().int().gte(1).lte(1000).optional(), post_processing: z.array(z.enum(["GFPGAN", "RealESRGAN_x4plus", "RealESRGAN_x2plus", "RealESRGAN_x4plus_anime_6B", "NMKD_Siax", "4x_AnimeSharp", "CodeFormers", "strip_background"])).optional(), karras: z.boolean().optional(), tiling: z.boolean().optional(), hires_fix: z.boolean().optional(), clip_skip: z.number().int().gte(1).lte(12).optional(), control_type: z.enum(["canny", "hed", "depth", "normal", "openpose", "seg", "scribble", "fakescribbles", "hough"]).optional(), image_is_control: z.boolean().optional(), return_control_map: z.boolean().optional(), facefixer_strength: z.number().gte(0).lte(1).optional(), loras: z.array(modelPayloadLorasStable).optional(), tis: z.array(modelPayloadTextualInversionsStable).optional(), special: modelSpecialPayloadStable.optional(), prompt: z.string().optional(), ddim_steps: z.number().int().optional(), n_iter: z.number().int().optional(), use_nsfw_censor: z.boolean().optional()}); export const noValidRequestFoundStable = z.object({worker_id: z.number().int().gte(0).optional(), performance: z.number().int().gte(0).optional(), nsfw: z.number().int().gte(0).optional(), blacklist: z.number().int().gte(0).optional(), untrusted: z.number().int().gte(0).optional(), models: z.number().int().gte(0).optional(), bridge_version: z.number().int().gte(0).optional(), kudos: z.number().int().optional(), max_pixels: z.number().int().optional(), unsafe_ip: z.number().int().optional(), img2img: z.number().int().optional(), painting: z.number().int().optional(), "post-processing": z.number().int().optional(), lora: z.number().int().optional(), controlnet: z.number().int().optional()}); export const extraSourceImage = z.object({image: z.string().optional(), strength: z.number().optional()}); export const generationPayloadStable = z.object({payload: modelPayloadStable.optional(), id: z.string().optional(), ids: z.array(z.string()).optional(), skipped: noValidRequestFoundStable.optional(), model: z.string().optional(), source_image: z.string().optional(), source_processing: z.enum(["img2img", "inpainting", "outpainting", "remix"]).optional(), source_mask: z.string().optional(), extra_source_images: z.array(extraSourceImage).optional(), r2_upload: z.string().optional(), r2_uploads: z.array(z.string()).optional()}); export const validateResponse = async ( schema: { readonly '~standard': { readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray | undefined }> }> } }, value: unknown ): Promise => { const result = await schema['~standard'].validate(value) if (result.issues !== undefined) { const detail = result.issues .map(({ message, path }) => path?.length ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}` : message ) .join('; ') throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } }) } return result.value }; /** * Check if there are generation requests queued for fulfillment * * POST /v2/generate/pop */ export const createApiV2GeneratePop = async (args: CreateApiV2GeneratePopArgs, options: CreateApiV2GeneratePopOptions) => { const {baseUrl, fetch: fetchFn = fetch} = options ?? {} const query = new URLSearchParams() const headers = new Headers() headers.set('content-type', "application/json") headers.set('accept', "application/json") if (args.apikey != null) headers.set("apikey", String(args.apikey)) if (args['X-Fields'] != null) headers.set("X-Fields", String(args['X-Fields'])) const url = `${baseUrl.replace(/\/+$/, '')}/v2/generate/pop${query.size > 0 ? `?${query}` : ''}` const res = await fetchFn(url, {method: "POST", headers, body: JSON.stringify(args.body)}) if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}}) return validateResponse(generationPayloadStable, await res.json()) };