Converter for A1111 infotexts to standardized format
This commit is contained in:
234
src/tests/convertA1111ToStdPromptTests.ts
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234
src/tests/convertA1111ToStdPromptTests.ts
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import convertA1111ToStdPrompt from "$lib/convertA1111ToStdPrompt";
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import { expect } from 'vitest';
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import UnitTest from "./UnitTest";
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import type { A1111ParsedInfotext } from "$lib/parseA1111";
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export default class convertA1111ToStdPromptTests extends UnitTest {
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test__convertsBasic() {
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const infotext: A1111ParsedInfotext = {
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positive: "highest quality, masterpiece, best quality, masterpiece, asuka langley sitting cross legged on a chair",
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negative: "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts,signature, watermark, username, blurry, artist name",
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height: 512,
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width: 512,
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modelHash: "925997e9",
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cfgScale: 12,
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sampler: "Euler",
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seed: 2870305590,
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steps: 28,
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extraNetworks: {},
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extraParams: {
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"clip skip": "2",
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"aesthetic embedding": "Belle",
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"aesthetic lr": "0.0005",
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"aesthetic slerp": "False",
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"aesthetic slerp angle": "0.1",
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"aesthetic steps": "15",
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"aesthetic text": "",
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"aesthetic text negative": "False",
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"aesthetic weight": "0.9",
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},
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}
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const converted = convertA1111ToStdPrompt(infotext);
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expect(converted).toEqual({
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prompt: {
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metadata: {
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version: 1,
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created_with: "stable-diffusion-webui",
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extra_data: {}
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},
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parameters: {
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checkpoint: [{
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model_hashes: {
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a1111_shorthash: "925997e9",
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}
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}],
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clip: [{
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clip_skip: 2,
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}],
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k_sampler: [{
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cfg_scale: 12,
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denoise: 1,
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sampler_name: "euler",
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scheduler: "normal",
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seed: 2870305590,
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steps: 28
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}],
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latent_image: [{
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width: 512,
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height: 512,
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}]
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}
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}
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})
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}
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test__convertsExtraNetworks() {
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const infotext: A1111ParsedInfotext = {
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positive: "dreamlike fantasy landscape where everything is a shade of pink,\n dog ",
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negative: "(worst quality:1.4), (low quality:1.4) , (monochrome:1.1)",
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width: 640,
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height: 512,
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modelHash: "0f0eaaa61e",
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modelName: "pastelmix-better-vae-fp16",
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cfgScale: 12,
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sampler: "DPM++ 2M Karras",
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seed: 2416682767,
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steps: 40,
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denoise: 0.55,
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extraNetworks: {
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hypernet: [
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{ items: ["zxcfc", "0.5", "baz", "quux"], },
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],
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lora: [
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{ items: ["asdfg", "0.8", "foo", "bar"] },
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],
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},
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extraParams: {
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"clip skip": "2",
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"ensd": "31337",
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"hires steps": "20",
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"hires upscale": "2",
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"hires upscaler": "Latent",
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},
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}
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const converted = convertA1111ToStdPrompt(infotext);
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expect(converted).toEqual({
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prompt: {
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metadata: {
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version: 1,
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created_with: "stable-diffusion-webui",
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extra_data: {}
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},
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parameters: {
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checkpoint: [{
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model_name: "pastelmix-better-vae-fp16",
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model_hashes: {
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a1111_shorthash: "0f0eaaa61e",
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}
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}],
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clip: [{
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clip_skip: 2,
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}],
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hypernetwork: [{
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model_name: "zxcfc",
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strength: 0.5,
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}],
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lora: [{
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model_name: "asdfg",
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strength_unet: 0.8,
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strength_tenc: 0.8,
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}],
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k_sampler: [{
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cfg_scale: 12,
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denoise: 0.55,
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sampler_name: "dpmpp_2m",
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scheduler: "karras",
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seed: 2416682767,
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steps: 40
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}],
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latent_image: [{
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width: 640,
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height: 512,
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upscale_by: 2,
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upscale_method: "Latent"
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}]
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}
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}
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})
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}
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test__convertsAdditionalNetworks() {
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const infotext: A1111ParsedInfotext = {
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positive: "1girl, pink hair",
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negative: "(worst quality, low quality:1.4)",
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width: 512,
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height: 768,
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modelHash: "0873291ac5",
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modelName: "AbyssOrangeMix2_nsfw",
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cfgScale: 6,
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sampler: "DPM++ SDE Karras",
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seed: 780207036,
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steps: 20,
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denoise: 0.2,
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extraNetworks: {},
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extraParams: {
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"addnet enabled": "True",
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"addnet model 1": "ElysiaV3-000002(6d3eb064dcc1)",
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"addnet model 2": "elfmorie2(a34cd9a8c3cc)",
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"addnet module 1": "LoRA",
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"addnet module 2": "LoRA",
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"addnet weight a 1": "0.9",
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"addnet weight a 2": "1",
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"addnet weight b 1": "0.7",
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"addnet weight b 2": "0.8",
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"ensd": "31337",
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"mask blur": "1",
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"sd upscale overlap": "64",
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"sd upscale upscaler": "4x_Valar_v1",
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// XXX: just make sure it doesn't fall over for now
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// this prompt format I swear...
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"template": "1girl",
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"negative template": "(worst quality",
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}
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}
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const converted = convertA1111ToStdPrompt(infotext)
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expect(converted).toEqual({
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prompt: {
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metadata: {
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version: 1,
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created_with: "stable-diffusion-webui",
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extra_data: {}
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},
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parameters: {
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checkpoint: [{
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model_name: "AbyssOrangeMix2_nsfw",
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model_hashes: {
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a1111_shorthash: "0873291ac5",
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}
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}],
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lora: [{
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module_name: "LoRA",
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model_name: "ElysiaV3-000002",
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model_hashes: {
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addnet_shorthash: "6d3eb064dcc1"
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},
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strength_unet: 0.9,
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strength_tenc: 0.7,
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},
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{
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module_name: "LoRA",
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model_name: "elfmorie2",
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model_hashes: {
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addnet_shorthash: "a34cd9a8c3cc"
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},
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strength_unet: 1,
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strength_tenc: 0.8,
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}],
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k_sampler: [{
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cfg_scale: 6,
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denoise: 0.2,
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sampler_name: "dpmpp_sde",
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scheduler: "karras",
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seed: 780207036,
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steps: 20
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}],
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latent_image: [{
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width: 512,
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height: 768,
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mask_blur: 1
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}],
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sd_upscale: [{
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upscaler: "4x_Valar_v1",
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overlap: 64
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}]
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}
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}
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})
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}
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}
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