From 0de16a6c87f59c72a87b859979985c962bd56b61 Mon Sep 17 00:00:00 2001 From: xzeldon Date: Fri, 8 Sep 2023 17:30:51 +0300 Subject: [PATCH] init --- .gitignore | 1 + README.md | 5 + index.js | 75 ++ package-lock.json | 1105 ++++++++++++++++++++++ package.json | 11 + patches/stable-diffusion-api+0.0.7.patch | 22 + result.jpeg | Bin 0 -> 314311 bytes 7 files changed, 1219 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 index.js create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 patches/stable-diffusion-api+0.0.7.patch create mode 100644 result.jpeg diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..b512c09 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +node_modules \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..ba9d6da --- /dev/null +++ b/README.md @@ -0,0 +1,5 @@ +# sd-playtime + +Just for fun... + +Model link: https://civitai.com/models/4823/deliberate diff --git a/index.js b/index.js new file mode 100644 index 0000000..7ff9c62 --- /dev/null +++ b/index.js @@ -0,0 +1,75 @@ +import rl from 'node:readline'; +import { StableDiffusionApi } from 'stable-diffusion-api'; +import sharp from 'sharp'; + +const PROMPT = "extremely detailed cinematic close up photo of an (Nikolay Valuev:1.3) as ethereal neural network organism, anatomical face, biomechanical details"; + +const api = new StableDiffusionApi({ + host: "127.0.0.1", + port: 7860, + protocol: "http", + defaultSampler: "DPM++ 2M Karras", + defaultStepCount: 22, +}); + +await api.setModel("deliberate_v3"); + +function printProgress() { + const progressInterval = setInterval(async () => { + const response = await api.getProgress(); + + if (response.progress === 0.0 && response.state.job_count === 0) { + clearInterval(progressInterval); + } + + rl.cursorTo(process.stdout, 0); + rl.clearLine(process.stdout, 0); + process.stdout.write(`[WAIT]: progress = ${response.progress.toFixed(2)}, jobs: ${response.state.job_count}`); + }, 200); +} + +async function predict(prompt) { + printProgress(); + + return api.txt2img({ + prompt: prompt, + negative_prompt: '[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry', + batch_size: 4, + cfg_scale: 7, + width: 640, + height: 640, + enable_hr: false, + hr_resize_x: 1280, + hr_resize_y: 1280, + hr_upscaler: "4x_NMKD-Siax_200k", + hr_second_pass_steps: 8, + denoising_strength: 0.36, + seed: -1 + }); +} + +const results = []; +const prediction = await predict(PROMPT); + +for (let result of prediction.images) { + const image = await result.png().toBuffer(); + results.push(image); +} + +const canvas = await sharp({ + create: { + width: 1280, + height: 1280, + channels: 3, + background: { r: 0, g: 0, b: 0 } + } +}).png().toBuffer(); + +const result = sharp(canvas).composite([ + { input: results[0], gravity: 'northwest' }, + { input: results[1], gravity: 'northeast' }, + { input: results[2], gravity: 'southwest' }, + { input: results[3], gravity: 'southeast' }, +]); + +await result.jpeg().toFile('result.jpeg'); \ No newline at end of file diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..bb9b3a6 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,1105 @@ +{ + "name": "sd-playtime", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "hasInstallScript": true, + "dependencies": { + "patch-package": "^8.0.0", + "sharp": "^0.32.5", + "stable-diffusion-api": "^0.0.7" + } + }, + "node_modules/@yarnpkg/lockfile": { + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/@yarnpkg/lockfile/-/lockfile-1.1.0.tgz", + "integrity": "sha512-GpSwvyXOcOOlV70vbnzjj4fW5xW/FdUF6nQEt1ENy7m4ZCczi1+/buVUPAqmGfqznsORNFzUMjctTIp8a9tuCQ==" + }, + "node_modules/ansi-styles": { + "version": "4.3.0", + "resolved": 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b/node_modules/stable-diffusion-api/dist/lib/StableDiffusionApi.js +@@ -21,7 +21,7 @@ const base64_1 = require("../utils/base64"); + const createScriptsWithCnUnits = (initScripts, controlNetUnit) => __awaiter(void 0, void 0, void 0, function* () { + const promises = controlNetUnit.map((unit) => __awaiter(void 0, void 0, void 0, function* () { return yield unit.toJson(); })); + const args = yield Promise.all(promises); +- const ControlNet = { args }; ++ const ControlNet = args.length ? { args } : undefined; + const scripts = Object.assign(Object.assign({}, initScripts), { ControlNet }); + return scripts; + }); +@@ -457,7 +457,7 @@ class StableDiffusionApi { + setModel(name, findClosest = true) { + return __awaiter(this, void 0, void 0, function* () { + const models = yield this.getSdModels(); +- const modelNames = models.map((model) => model.name); ++ const modelNames = models.map((model) => model.model_name); + let foundModel = null; + if (modelNames.includes(name)) { + foundModel = 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