| 1 | import log from 'electron-log/main.js' |
| 2 | import type { |
| 3 | ImageGenerationProviderAdapter, |
| 4 | ImageGenerationResult, |
| 5 | ResolvedImageModelConfig |
| 6 | } from '../types' |
| 7 | import { collectImageResults, joinUrl, readJsonResponse, readRecord, readString } from './utils' |
| 8 | import { resolveConfiguredDefaultImageSize } from './default-size' |
| 9 | |
| 10 | const DEFAULT_BASE_URL = 'https://api.siliconflow.cn/v1' |
| 11 | const DEFAULT_ENDPOINT_PATH = '/images/generations' |
| 12 | const DEFAULT_MODEL = 'Tongyi-MAI/Z-Image-Turbo' |
| 13 | const LOG_TAG = 'siliconflow' |
| 14 | |
| 15 | const QWEN_IMAGE_SIZE_MAP: Record<string, string> = { |
| 16 | '1:1': '1328x1328', |
| 17 | '16:9': '1664x928', |
| 18 | '9:16': '928x1664', |
| 19 | '4:3': '1472x1140', |
| 20 | '3:4': '1140x1472', |
| 21 | '3:2': '1584x1056', |
| 22 | '2:3': '1056x1584' |
| 23 | } |
| 24 | |
| 25 | const KOLORS_SIZE_MAP: Record<string, string> = { |
| 26 | '1:1': '1024x1024', |
| 27 | '3:4': '960x1280', |
| 28 | '9:16': '720x1280', |
| 29 | '1:2': '720x1440' |
| 30 | } |
| 31 | |
| 32 | const DEFAULT_SIZE_MAP: Record<string, string> = { |
| 33 | '1:1': '1024x1024', |
| 34 | '16:9': '1280x720', |
| 35 | '9:16': '720x1280', |
| 36 | '4:3': '1024x768', |
| 37 | '3:4': '768x1024' |
| 38 | } |
| 39 | |
| 40 | const buildEndpoint = (config: ResolvedImageModelConfig): string => { |
| 41 | const endpoint = readString(config.modelConfig, 'endpoint') |
| 42 | if (endpoint) return endpoint |
| 43 | return joinUrl(readString(config.modelConfig, 'baseUrl') || DEFAULT_BASE_URL, DEFAULT_ENDPOINT_PATH) |
| 44 | } |
| 45 | |
| 46 | const parseDimensionSize = (value: string): string => { |
| 47 | const match = /^\s*(\d{2,5})\s*[x*]\s*(\d{2,5})\s*$/i.exec(value) |
| 48 | if (!match) return '' |
| 49 | return `${Number(match[1])}x${Number(match[2])}` |
| 50 | } |
| 51 | |
| 52 | const resolveSizeMap = (model: string): Record<string, string> => { |
| 53 | if (/qwen\/qwen-image/i.test(model)) return QWEN_IMAGE_SIZE_MAP |
| 54 | if (/kolors/i.test(model)) return KOLORS_SIZE_MAP |
| 55 | return DEFAULT_SIZE_MAP |
| 56 | } |
| 57 | |
| 58 | const resolveImageSize = (config: ResolvedImageModelConfig, model: string, inputSize: string): string => { |
| 59 | const configuredSize = |
| 60 | readString(config.modelConfig, 'imageSize') || |
| 61 | readString(config.modelConfig, 'image_size') || |
| 62 | readString(config.modelConfig, 'size') |
| 63 | if (configuredSize) return parseDimensionSize(configuredSize) || configuredSize |
| 64 | return parseDimensionSize(inputSize) || resolveSizeMap(model)[inputSize] || inputSize |
| 65 | } |
| 66 | |
| 67 | const readNumber = (config: ResolvedImageModelConfig, key: string): number | undefined => { |
| 68 | const value = Number(config.modelConfig[key]) |
| 69 | return Number.isFinite(value) ? value : undefined |
| 70 | } |
| 71 | |
| 72 | const buildOptionalParameters = ( |
| 73 | config: ResolvedImageModelConfig, |
| 74 | input: Parameters<ImageGenerationProviderAdapter['generate']>[1], |
| 75 | model: string |
| 76 | ): Record<string, unknown> => { |
| 77 | const params: Record<string, unknown> = {} |
| 78 | if (input.negativePrompt) params.negative_prompt = input.negativePrompt |
| 79 | if (typeof input.seed === 'number') params.seed = input.seed |
| 80 | |
| 81 | const numInferenceSteps = readNumber(config, 'numInferenceSteps') ?? readNumber(config, 'num_inference_steps') |
| 82 | if (numInferenceSteps !== undefined) params.num_inference_steps = numInferenceSteps |
| 83 | |
| 84 | const guidanceScale = readNumber(config, 'guidanceScale') ?? readNumber(config, 'guidance_scale') |
| 85 | if (guidanceScale !== undefined) params.guidance_scale = guidanceScale |
| 86 | |
| 87 | const cfg = readNumber(config, 'cfg') |
| 88 | if (cfg !== undefined) params.cfg = cfg |
| 89 | |
| 90 | if (/kolors/i.test(model)) { |
| 91 | params.batch_size = 1 |
| 92 | } |
| 93 | return params |
| 94 | } |
| 95 | |
| 96 | const collectSiliconFlowImages = async ( |
| 97 | payload: unknown, |
| 98 | signal?: AbortSignal |
| 99 | ): Promise<ImageGenerationResult[]> => { |
| 100 | const record = readRecord(payload) |
| 101 | return collectImageResults({ output: { images: Array.isArray(record.images) ? record.images : [] } }, signal) |
| 102 | } |
| 103 | |
| 104 | const toErrorMessage = (error: unknown): string => |
| 105 | error instanceof Error ? error.message : String(error) |
| 106 | |
| 107 | export const siliconFlowAdapter: ImageGenerationProviderAdapter = { |
| 108 | getDefaultSize(config) { |
| 109 | const model = readString(config.modelConfig, 'model') || DEFAULT_MODEL |
| 110 | return resolveConfiguredDefaultImageSize(config) || resolveSizeMap(model)['16:9'] || '1280x720' |
| 111 | }, |
| 112 | |
| 113 | async generate(config, input) { |
| 114 | const startedAt = Date.now() |
| 115 | const endpoint = buildEndpoint(config) |
| 116 | const model = readString(config.modelConfig, 'model') || DEFAULT_MODEL |
| 117 | const apiKey = readString(config.modelConfig, 'apiKey') |
| 118 | if (!apiKey) throw new Error('硅基流动需要 API Key。') |
| 119 | |
| 120 | const imageSize = resolveImageSize(config, model, input.size) |
| 121 | const requestBody = readRecord(config.modelConfig.requestBody) |
| 122 | const headers = readRecord(config.modelConfig.headers) as Record<string, string> |
| 123 | const body = { |
| 124 | model, |
| 125 | prompt: input.prompt, |
| 126 | image_size: imageSize, |
| 127 | ...buildOptionalParameters(config, input, model), |
| 128 | ...requestBody |
| 129 | } |
| 130 | |
| 131 | log.info(`[images:${LOG_TAG}] generation start`, { |
| 132 | configId: config.id, |
| 133 | configName: config.name, |
| 134 | model, |
| 135 | endpoint, |
| 136 | imageSize, |
| 137 | promptLength: input.prompt.length, |
| 138 | hasSeed: typeof input.seed === 'number', |
| 139 | requestBodyKeys: Object.keys(requestBody).sort() |
| 140 | }) |
| 141 | |
| 142 | try { |
| 143 | const response = await fetch(endpoint, { |
| 144 | method: 'POST', |
| 145 | signal: input.signal, |
| 146 | headers: { |
| 147 | authorization: `Bearer ${apiKey}`, |
| 148 | 'content-type': 'application/json', |
| 149 | ...headers |
| 150 | }, |
| 151 | body: JSON.stringify(body) |
| 152 | }) |
| 153 | log.info(`[images:${LOG_TAG}] request end`, { |
| 154 | model, |
| 155 | status: response.status, |
| 156 | ok: response.ok, |
| 157 | elapsedMs: Date.now() - startedAt |
| 158 | }) |
| 159 | const payload = await readJsonResponse(response) |
| 160 | const results = await collectSiliconFlowImages(payload, input.signal) |
| 161 | if (results.length === 0) throw new Error('硅基流动未返回图片') |
| 162 | log.info(`[images:${LOG_TAG}] generation completed`, { |
| 163 | model, |
| 164 | resultCount: results.length, |
| 165 | elapsedMs: Date.now() - startedAt |
| 166 | }) |
| 167 | return results.slice(0, input.count) |
| 168 | } catch (error) { |
| 169 | log.error(`[images:${LOG_TAG}] generation failed`, { |
| 170 | model, |
| 171 | message: toErrorMessage(error), |
| 172 | elapsedMs: Date.now() - startedAt |
| 173 | }) |
| 174 | throw error |
| 175 | } |
| 176 | } |
| 177 | } |
| 178 |