Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
| import { client } from "@gradio/client" | |
| import { generateSeed } from "../utils/generateSeed.mts" | |
| import { getValidNumber } from "./getValidNumber.mts" | |
| // we don't use replicas yet, because it ain't easy to get their hostname | |
| const instances: string[] = [ | |
| `${process.env.VC_SDXL_SPACE_API_URL_1 || ""}`, | |
| `${process.env.VC_SDXL_SPACE_API_URL_2 || ""}`, | |
| ].filter(instance => instance?.length > 0) | |
| const secretToken = `${process.env.VC_MICROSERVICE_SECRET_TOKEN || ""}` | |
| export async function generateImageSDXLAsBase64(options: { | |
| positivePrompt: string; | |
| negativePrompt?: string; | |
| seed?: number; | |
| width?: number; | |
| height?: number; | |
| nbSteps?: number; | |
| }) { | |
| const positivePrompt = options?.positivePrompt || "" | |
| if (!positivePrompt) { | |
| throw new Error("missing prompt") | |
| } | |
| // the negative prompt CAN be missing, since we use a trick | |
| // where we make the interface mandatory in the TS doc, | |
| // but browsers might send something partial | |
| const negativePrompt = options?.negativePrompt || "" | |
| // we treat 0 as meaning "random seed" | |
| const seed = (options?.seed ? options.seed : 0) || generateSeed() | |
| const width = getValidNumber(options?.width, 256, 1024, 512) | |
| const height = getValidNumber(options?.height, 256, 1024, 512) | |
| const nbSteps = getValidNumber(options?.nbSteps, 5, 100, 20) | |
| console.log("SEED:", seed) | |
| const instance = instances.shift() | |
| instances.push(instance) | |
| const positive = [ | |
| // oh well.. is it too late to move this to the bottom? | |
| "beautiful", | |
| "intricate details", | |
| positivePrompt, | |
| "award winning", | |
| "high resolution" | |
| ].filter(word => word) | |
| .join(", ") | |
| const negative = [ | |
| negativePrompt, | |
| "watermark", | |
| "copyright", | |
| "blurry", | |
| // "artificial", | |
| // "cropped", | |
| "low quality", | |
| "ugly" | |
| ].filter(word => word) | |
| .join(", ") | |
| const api = await client(instance, { | |
| hf_token: `${process.env.VC_HF_API_TOKEN}` as any | |
| }) | |
| const rawResponse = (await api.predict("/run", [ | |
| positive, // string in 'Prompt' Textbox component | |
| negative, // string in 'Negative prompt' Textbox component | |
| positive, // string in 'Prompt 2' Textbox component | |
| negative, // string in 'Negative prompt 2' Textbox component | |
| true, // boolean in 'Use negative prompt' Checkbox component | |
| false, // boolean in 'Use prompt 2' Checkbox component | |
| false, // boolean in 'Use negative prompt 2' Checkbox component | |
| seed, // number (numeric value between 0 and 2147483647) in 'Seed' Slider component | |
| width, // number (numeric value between 256 and 1024) in 'Width' Slider component | |
| height, // number (numeric value between 256 and 1024) in 'Height' Slider component | |
| 8, // number (numeric value between 1 and 20) in 'Guidance scale for base' Slider component | |
| 8, // number (numeric value between 1 and 20) in 'Guidance scale for refiner' Slider component | |
| nbSteps, // number (numeric value between 10 and 100) in 'Number of inference steps for base' Slider component | |
| nbSteps, // number (numeric value between 10 and 100) in 'Number of inference steps for refiner' Slider component | |
| true, // boolean in 'Apply refiner' Checkbox component, | |
| secretToken | |
| ])) as any | |
| return rawResponse?.data?.[0] as string | |
| } | |