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Parent(s):
e22103d
we now have.. custom models ☄️.. and settings ✨
Browse files- package-lock.json +14 -0
- package.json +1 -0
- src/app/engine/presets.ts +12 -0
- src/app/engine/render.ts +153 -49
- src/app/interface/bottom-bar/index.tsx +9 -13
- src/app/interface/panel/index.tsx +6 -2
- src/app/interface/settings-dialog/defaultSettings.ts +14 -0
- src/app/interface/settings-dialog/field.tsx +7 -0
- src/app/interface/settings-dialog/getSettings.ts +26 -0
- src/app/interface/settings-dialog/index.tsx +229 -0
- src/app/interface/settings-dialog/label.tsx +7 -0
- src/app/interface/settings-dialog/localStorageKeys.ts +14 -0
- src/app/interface/share/index.tsx +1 -20
- src/app/main.tsx +5 -1
- src/lib/getValidString.ts +8 -0
- src/types.ts +20 -1
package-lock.json
CHANGED
@@ -62,6 +62,7 @@
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"tailwindcss-animate": "^1.0.6",
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"ts-node": "^10.9.1",
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"typescript": "5.1.6",
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"uuid": "^9.0.0",
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"zustand": "^4.4.1"
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},
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@@ -6808,6 +6809,19 @@
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"react": "^16.8.0 || ^17.0.0 || ^18.0.0"
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}
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},
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"node_modules/util-deprecate": {
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"version": "1.0.2",
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"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
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"tailwindcss-animate": "^1.0.6",
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"ts-node": "^10.9.1",
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"typescript": "5.1.6",
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"usehooks-ts": "^2.9.1",
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"uuid": "^9.0.0",
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"zustand": "^4.4.1"
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},
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"react": "^16.8.0 || ^17.0.0 || ^18.0.0"
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}
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},
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"node_modules/usehooks-ts": {
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"version": "2.9.1",
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"resolved": "https://registry.npmjs.org/usehooks-ts/-/usehooks-ts-2.9.1.tgz",
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"integrity": "sha512-2FAuSIGHlY+apM9FVlj8/oNhd+1y+Uwv5QNkMQz1oSfdHk4PXo1qoCw9I5M7j0vpH8CSWFJwXbVPeYDjLCx9PA==",
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"engines": {
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"node": ">=16.15.0",
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"npm": ">=8"
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},
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"peerDependencies": {
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"react": "^16.8.0 || ^17.0.0 || ^18.0.0",
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"react-dom": "^16.8.0 || ^17.0.0 || ^18.0.0"
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}
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},
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"node_modules/util-deprecate": {
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"version": "1.0.2",
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"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
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package.json
CHANGED
@@ -63,6 +63,7 @@
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"tailwindcss-animate": "^1.0.6",
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"ts-node": "^10.9.1",
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"typescript": "5.1.6",
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"uuid": "^9.0.0",
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"zustand": "^4.4.1"
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},
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"tailwindcss-animate": "^1.0.6",
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"ts-node": "^10.9.1",
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"typescript": "5.1.6",
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"usehooks-ts": "^2.9.1",
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"uuid": "^9.0.0",
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"zustand": "^4.4.1"
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},
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src/app/engine/presets.ts
CHANGED
@@ -36,6 +36,18 @@ export const presets: Record<string, Preset> = {
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imagePrompt: (prompt: string) => [],
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negativePrompt: () => [],
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},
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japanese_manga: {
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id: "japanese_manga",
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label: "Japanese",
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imagePrompt: (prompt: string) => [],
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negativePrompt: () => [],
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},
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neutral: {
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id: "neutral",
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label: "Neutral (no style)",
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family: "american",
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color: "color",
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font: "actionman",
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llmPrompt: "",
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imagePrompt: (prompt: string) => [
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prompt,
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],
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negativePrompt: () => [ ],
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},
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japanese_manga: {
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id: "japanese_manga",
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label: "Japanese",
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src/app/engine/render.ts
CHANGED
@@ -2,43 +2,46 @@
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import { v4 as uuidv4 } from "uuid"
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import Replicate from "replicate"
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-
import OpenAI from "openai"
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import { RenderRequest, RenderedScene, RenderingEngine } from "@/types"
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import { generateSeed } from "@/lib/generateSeed"
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import { sleep } from "@/lib/sleep"
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const
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// TODO: we should split Hugging Face and Replicate backends into separate files
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-
const
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const
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const
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const
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-
const
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const
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const
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const videochainToken = `${process.env.AUTH_VIDEOCHAIN_API_TOKEN || ""}`
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const videochainApiUrl = `${process.env.RENDERING_VIDEOCHAIN_API_URL || ""}`
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-
const
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const
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const
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export async function newRender({
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prompt,
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// negativePrompt,
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width,
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height,
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-
withCache
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}: {
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prompt: string
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// negativePrompt: string[]
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width: number
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height: number
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withCache: boolean
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}) {
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// throw new Error("Planned maintenance")
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@@ -61,6 +64,59 @@ export async function newRender({
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const nbInferenceSteps = 30
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const guidanceScale = 9
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try {
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if (renderingEngine === "OPENAI") {
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@@ -89,7 +145,7 @@ export async function newRender({
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})
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*/
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const res = await fetch(`${
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method: "POST",
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headers: {
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Accept: "application/json",
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Authorization: `Bearer ${openaiApiKey}`,
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},
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body: JSON.stringify({
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model:
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prompt,
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n: 1,
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size,
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segments: []
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} as RenderedScene
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} else if (renderingEngine === "REPLICATE") {
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if (!
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throw new Error(`you need to configure your REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`)
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}
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if (!
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throw new Error(`you need to configure your REPLICATE_API_MODEL in order to use the REPLICATE rendering engine`)
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}
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if (!
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throw new Error(`you need to configure your REPLICATE_API_MODEL_VERSION in order to use the REPLICATE rendering engine`)
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}
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-
const replicate = new Replicate({ auth:
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const seed = generateSeed()
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const prediction = await replicate.predictions.create({
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version:
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input: {
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prompt: [
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"beautiful",
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// "intricate details",
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prompt,
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"award winning",
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"high resolution"
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].join(", "),
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width,
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height,
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seed
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@@ -167,36 +224,37 @@ export async function newRender({
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segments: []
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} as RenderedScene
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} if (renderingEngine === "INFERENCE_ENDPOINT" || renderingEngine === "INFERENCE_API") {
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-
if (!
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throw new Error(`you need to configure your HF_API_TOKEN in order to use the ${renderingEngine} rendering engine`)
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}
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-
if (renderingEngine === "INFERENCE_ENDPOINT" && !
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throw new Error(`you need to configure your RENDERING_HF_INFERENCE_ENDPOINT_URL in order to use the INFERENCE_ENDPOINT rendering engine`)
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}
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if (renderingEngine === "INFERENCE_API" && !
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throw new Error(`you need to configure your RENDERING_HF_INFERENCE_API_BASE_MODEL in order to use the INFERENCE_API rendering engine`)
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}
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if (renderingEngine === "INFERENCE_API" && !
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throw new Error(`you need to configure your RENDERING_HF_INFERENCE_API_REFINER_MODEL in order to use the INFERENCE_API rendering engine`)
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}
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const baseModelUrl = renderingEngine === "INFERENCE_ENDPOINT"
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-
?
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: `https://api-inference.huggingface.co/models/${
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const positivePrompt = [
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"beautiful",
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// "intricate details",
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prompt,
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"award winning",
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"high resolution"
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].join(", ")
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const res = await fetch(baseModelUrl, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Authorization: `Bearer ${
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},
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body: JSON.stringify({
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inputs: positivePrompt,
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if (renderingEngine === "INFERENCE_API") {
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try {
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const refinerModelUrl = `https://api-inference.huggingface.co/models/${
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-
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-
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const res = await fetch(refinerModelUrl, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Authorization: `Bearer ${
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},
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body: JSON.stringify({
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inputs: Buffer.from(blob).toString('base64'),
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@@ -283,7 +339,6 @@ export async function newRender({
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}
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}
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-
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return {
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renderId: uuidv4(),
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status: "completed",
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}
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}
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export async function getRender(renderId: string) {
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if (!renderId) {
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const error = `cannot call the rendering API without a renderId, aborting..`
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console.error(error)
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throw new Error(error)
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}
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let defaulResult: RenderedScene = {
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renderId: "",
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status: "pending",
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@@ -360,17 +467,14 @@ export async function getRender(renderId: string) {
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try {
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if (renderingEngine === "REPLICATE") {
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-
if (!
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throw new Error(`you need to configure your AUTH_REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`)
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-
}
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-
if (!replicateModel) {
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-
throw new Error(`you need to configure your RENDERING_REPLICATE_API_MODEL in order to use the REPLICATE rendering engine`)
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}
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const res = await fetch(`https://api.replicate.com/v1/predictions/${renderId}`, {
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method: "GET",
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headers: {
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-
Authorization: `Token ${
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},
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cache: 'no-store',
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// we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache)
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import { v4 as uuidv4 } from "uuid"
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import Replicate from "replicate"
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+
import { RenderRequest, RenderedScene, RenderingEngine, Settings } from "@/types"
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import { generateSeed } from "@/lib/generateSeed"
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import { sleep } from "@/lib/sleep"
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+
const serverRenderingEngine = `${process.env.RENDERING_ENGINE || ""}` as RenderingEngine
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// TODO: we should split Hugging Face and Replicate backends into separate files
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+
const serverHuggingfaceApiKey = `${process.env.AUTH_HF_API_TOKEN || ""}`
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+
const serverHuggingfaceApiUrl = `${process.env.RENDERING_HF_INFERENCE_ENDPOINT_URL || ""}`
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+
const serverHuggingfaceInferenceApiModel = `${process.env.RENDERING_HF_INFERENCE_API_BASE_MODEL || ""}`
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+
const serverHuggingfaceInferenceApiModelRefinerModel = `${process.env.RENDERING_HF_INFERENCE_API_REFINER_MODEL || ""}`
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+
const serverHuggingfaceInferenceApiModelTrigger = `${process.env.RENDERING_HF_INFERENCE_API_MODEL_TRIGGER || "style of TOK"}`
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+
const serverReplicateApiKey = `${process.env.AUTH_REPLICATE_API_TOKEN || ""}`
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+
const serverReplicateApiModel = `${process.env.RENDERING_REPLICATE_API_MODEL || ""}`
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+
const serverReplicateApiModelVersion = `${process.env.RENDERING_REPLICATE_API_MODEL_VERSION || ""}`
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+
const serverReplicateApiModelTrigger = `${process.env.RENDERING_REPLICATE_API_MODEL_TRIGGER || ""}`
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const videochainToken = `${process.env.AUTH_VIDEOCHAIN_API_TOKEN || ""}`
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const videochainApiUrl = `${process.env.RENDERING_VIDEOCHAIN_API_URL || ""}`
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+
const serverOpenaiApiKey = `${process.env.AUTH_OPENAI_API_KEY || ""}`
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+
const serverOpenaiApiBaseUrl = `${process.env.RENDERING_OPENAI_API_BASE_URL || "https://api.openai.com/v1"}`
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+
const serverOpenaiApiModel = `${process.env.RENDERING_OPENAI_API_MODEL || "dall-e-3"}`
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export async function newRender({
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prompt,
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// negativePrompt,
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width,
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height,
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+
withCache,
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+
settings,
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38 |
}: {
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prompt: string
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40 |
// negativePrompt: string[]
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41 |
width: number
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42 |
height: number
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43 |
withCache: boolean
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+
settings: Settings
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}) {
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46 |
// throw new Error("Planned maintenance")
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47 |
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const nbInferenceSteps = 30
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const guidanceScale = 9
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66 |
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67 |
+
let renderingEngine = serverRenderingEngine
|
68 |
+
let openaiApiKey = serverOpenaiApiKey
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69 |
+
let openaiApiModel = serverOpenaiApiModel
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70 |
+
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71 |
+
let replicateApiKey = serverReplicateApiKey
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72 |
+
let replicateApiModel = serverReplicateApiModel
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73 |
+
let replicateApiModelVersion = serverReplicateApiModelVersion
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74 |
+
let replicateApiModelTrigger = serverReplicateApiModelTrigger
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75 |
+
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+
let huggingfaceApiKey = serverHuggingfaceApiKey
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77 |
+
let huggingfaceInferenceApiModel = serverHuggingfaceInferenceApiModel
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+
let huggingfaceApiUrl = serverHuggingfaceApiUrl
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79 |
+
let huggingfaceInferenceApiModelRefinerModel = serverHuggingfaceInferenceApiModelRefinerModel
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80 |
+
let huggingfaceInferenceApiModelTrigger = serverHuggingfaceInferenceApiModelTrigger
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81 |
+
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82 |
+
const placeholder = "<USE YOUR OWN TOKEN>"
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83 |
+
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84 |
+
if (
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85 |
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settings.renderingModelVendor === "OPENAI" &&
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86 |
+
settings.openaiApiKey &&
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87 |
+
settings.openaiApiKey !== placeholder &&
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88 |
+
settings.openaiApiModel
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89 |
+
) {
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90 |
+
console.log("using OpenAI using user credentials (hidden)")
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91 |
+
renderingEngine = "OPENAI"
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92 |
+
openaiApiKey = settings.openaiApiKey
|
93 |
+
openaiApiModel = settings.openaiApiModel
|
94 |
+
} if (
|
95 |
+
settings.renderingModelVendor === "REPLICATE" &&
|
96 |
+
settings.replicateApiKey &&
|
97 |
+
settings.replicateApiKey !== placeholder &&
|
98 |
+
settings.replicateApiModel &&
|
99 |
+
settings.replicateApiModelVersion
|
100 |
+
) {
|
101 |
+
console.log("using Replicate using user credentials (hidden)")
|
102 |
+
renderingEngine = "REPLICATE"
|
103 |
+
replicateApiKey = settings.replicateApiKey
|
104 |
+
replicateApiModel = settings.replicateApiModel
|
105 |
+
replicateApiModelVersion = settings.replicateApiModelVersion
|
106 |
+
replicateApiModelTrigger = settings.replicateApiModelTrigger
|
107 |
+
} else if (
|
108 |
+
settings.renderingModelVendor === "HUGGINGFACE" &&
|
109 |
+
settings.huggingfaceApiKey &&
|
110 |
+
settings.huggingfaceApiKey !== placeholder &&
|
111 |
+
settings.huggingfaceInferenceApiModel
|
112 |
+
) {
|
113 |
+
console.log("using Hugging Face using user credentials (hidden)")
|
114 |
+
renderingEngine = "INFERENCE_API"
|
115 |
+
huggingfaceApiKey = settings.huggingfaceApiKey
|
116 |
+
huggingfaceInferenceApiModel = settings.huggingfaceInferenceApiModel
|
117 |
+
huggingfaceInferenceApiModelTrigger = settings.huggingfaceInferenceApiModelTrigger
|
118 |
+
}
|
119 |
+
|
120 |
try {
|
121 |
if (renderingEngine === "OPENAI") {
|
122 |
|
|
|
145 |
})
|
146 |
*/
|
147 |
|
148 |
+
const res = await fetch(`${serverOpenaiApiBaseUrl}/images/generations`, {
|
149 |
method: "POST",
|
150 |
headers: {
|
151 |
Accept: "application/json",
|
|
|
153 |
Authorization: `Bearer ${openaiApiKey}`,
|
154 |
},
|
155 |
body: JSON.stringify({
|
156 |
+
model: openaiApiModel,
|
157 |
prompt,
|
158 |
n: 1,
|
159 |
size,
|
|
|
181 |
segments: []
|
182 |
} as RenderedScene
|
183 |
} else if (renderingEngine === "REPLICATE") {
|
184 |
+
if (!replicateApiKey) {
|
185 |
+
throw new Error(`invalid replicateApiKey, you need to configure your REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`)
|
186 |
}
|
187 |
+
if (!replicateApiModel) {
|
188 |
+
throw new Error(`invalid replicateApiModel, you need to configure your REPLICATE_API_MODEL in order to use the REPLICATE rendering engine`)
|
189 |
}
|
190 |
+
if (!replicateApiModelVersion) {
|
191 |
+
throw new Error(`invalid replicateApiModelVersion, you need to configure your REPLICATE_API_MODEL_VERSION in order to use the REPLICATE rendering engine`)
|
192 |
}
|
193 |
+
const replicate = new Replicate({ auth: replicateApiKey })
|
194 |
|
195 |
const seed = generateSeed()
|
196 |
const prediction = await replicate.predictions.create({
|
197 |
+
version: replicateApiModelVersion,
|
198 |
input: {
|
199 |
prompt: [
|
200 |
"beautiful",
|
201 |
// "intricate details",
|
202 |
+
replicateApiModelTrigger || "",
|
203 |
prompt,
|
204 |
"award winning",
|
205 |
"high resolution"
|
206 |
+
].filter(x => x).join(", "),
|
207 |
width,
|
208 |
height,
|
209 |
seed
|
|
|
224 |
segments: []
|
225 |
} as RenderedScene
|
226 |
} if (renderingEngine === "INFERENCE_ENDPOINT" || renderingEngine === "INFERENCE_API") {
|
227 |
+
if (!huggingfaceApiKey) {
|
228 |
+
throw new Error(`invalid huggingfaceApiKey, you need to configure your HF_API_TOKEN in order to use the ${renderingEngine} rendering engine`)
|
229 |
}
|
230 |
+
if (renderingEngine === "INFERENCE_ENDPOINT" && !huggingfaceApiUrl) {
|
231 |
+
throw new Error(`invalid huggingfaceApiUrl, you need to configure your RENDERING_HF_INFERENCE_ENDPOINT_URL in order to use the INFERENCE_ENDPOINT rendering engine`)
|
232 |
}
|
233 |
+
if (renderingEngine === "INFERENCE_API" && !huggingfaceInferenceApiModel) {
|
234 |
+
throw new Error(`invalid huggingfaceInferenceApiModel, you need to configure your RENDERING_HF_INFERENCE_API_BASE_MODEL in order to use the INFERENCE_API rendering engine`)
|
235 |
}
|
236 |
+
if (renderingEngine === "INFERENCE_API" && !huggingfaceInferenceApiModelRefinerModel) {
|
237 |
+
throw new Error(`invalid huggingfaceInferenceApiModelRefinerModel, you need to configure your RENDERING_HF_INFERENCE_API_REFINER_MODEL in order to use the INFERENCE_API rendering engine`)
|
238 |
}
|
239 |
|
240 |
const baseModelUrl = renderingEngine === "INFERENCE_ENDPOINT"
|
241 |
+
? huggingfaceApiUrl
|
242 |
+
: `https://api-inference.huggingface.co/models/${huggingfaceInferenceApiModel}`
|
243 |
|
244 |
const positivePrompt = [
|
245 |
"beautiful",
|
246 |
// "intricate details",
|
247 |
+
huggingfaceInferenceApiModelTrigger || "",
|
248 |
prompt,
|
249 |
"award winning",
|
250 |
"high resolution"
|
251 |
+
].filter(x => x).join(", ")
|
252 |
|
253 |
const res = await fetch(baseModelUrl, {
|
254 |
method: "POST",
|
255 |
headers: {
|
256 |
"Content-Type": "application/json",
|
257 |
+
Authorization: `Bearer ${huggingfaceApiKey}`,
|
258 |
},
|
259 |
body: JSON.stringify({
|
260 |
inputs: positivePrompt,
|
|
|
293 |
|
294 |
if (renderingEngine === "INFERENCE_API") {
|
295 |
try {
|
296 |
+
const refinerModelUrl = `https://api-inference.huggingface.co/models/${huggingfaceInferenceApiModelRefinerModel}`
|
|
|
|
|
297 |
|
298 |
const res = await fetch(refinerModelUrl, {
|
299 |
method: "POST",
|
300 |
headers: {
|
301 |
"Content-Type": "application/json",
|
302 |
+
Authorization: `Bearer ${huggingfaceApiKey}`,
|
303 |
},
|
304 |
body: JSON.stringify({
|
305 |
inputs: Buffer.from(blob).toString('base64'),
|
|
|
339 |
}
|
340 |
}
|
341 |
|
|
|
342 |
return {
|
343 |
renderId: uuidv4(),
|
344 |
status: "completed",
|
|
|
396 |
}
|
397 |
}
|
398 |
|
399 |
+
export async function getRender(renderId: string, settings: Settings) {
|
400 |
if (!renderId) {
|
401 |
const error = `cannot call the rendering API without a renderId, aborting..`
|
402 |
console.error(error)
|
403 |
throw new Error(error)
|
404 |
}
|
405 |
|
406 |
+
|
407 |
+
let renderingEngine = serverRenderingEngine
|
408 |
+
let openaiApiKey = serverOpenaiApiKey
|
409 |
+
let openaiApiModel = serverOpenaiApiModel
|
410 |
+
|
411 |
+
let replicateApiKey = serverReplicateApiKey
|
412 |
+
let replicateApiModel = serverReplicateApiModel
|
413 |
+
let replicateApiModelVersion = serverReplicateApiModelVersion
|
414 |
+
let replicateApiModelTrigger = serverReplicateApiModelTrigger
|
415 |
+
|
416 |
+
let huggingfaceApiKey = serverHuggingfaceApiKey
|
417 |
+
let huggingfaceInferenceApiModel = serverHuggingfaceInferenceApiModel
|
418 |
+
let huggingfaceInferenceApiModelTrigger = serverHuggingfaceInferenceApiModelTrigger
|
419 |
+
let huggingfaceApiUrl = serverHuggingfaceApiUrl
|
420 |
+
let huggingfaceInferenceApiModelRefinerModel = serverHuggingfaceInferenceApiModelRefinerModel
|
421 |
+
|
422 |
+
const placeholder = "<USE YOUR OWN TOKEN>"
|
423 |
+
|
424 |
+
if (
|
425 |
+
settings.renderingModelVendor === "OPENAI" &&
|
426 |
+
settings.openaiApiKey &&
|
427 |
+
settings.openaiApiKey !== placeholder &&
|
428 |
+
settings.openaiApiModel
|
429 |
+
) {
|
430 |
+
renderingEngine = "OPENAI"
|
431 |
+
openaiApiKey = settings.openaiApiKey
|
432 |
+
openaiApiModel = settings.openaiApiModel
|
433 |
+
} if (
|
434 |
+
settings.renderingModelVendor === "REPLICATE" &&
|
435 |
+
settings.replicateApiKey &&
|
436 |
+
settings.replicateApiKey !== placeholder &&
|
437 |
+
settings.replicateApiModel &&
|
438 |
+
settings.replicateApiModelVersion
|
439 |
+
) {
|
440 |
+
renderingEngine = "REPLICATE"
|
441 |
+
replicateApiKey = settings.replicateApiKey
|
442 |
+
replicateApiModel = settings.replicateApiModel
|
443 |
+
replicateApiModelVersion = settings.replicateApiModelVersion
|
444 |
+
replicateApiModelTrigger = settings.replicateApiModelTrigger
|
445 |
+
} else if (
|
446 |
+
settings.renderingModelVendor === "HUGGINGFACE" &&
|
447 |
+
settings.huggingfaceApiKey &&
|
448 |
+
settings.huggingfaceApiKey !== placeholder &&
|
449 |
+
settings.huggingfaceInferenceApiModel
|
450 |
+
) {
|
451 |
+
// console.log("using Hugging Face using user credentials (hidden)")
|
452 |
+
renderingEngine = "INFERENCE_API"
|
453 |
+
huggingfaceApiKey = settings.huggingfaceApiKey
|
454 |
+
huggingfaceInferenceApiModel = settings.huggingfaceInferenceApiModel
|
455 |
+
huggingfaceInferenceApiModelTrigger = settings.huggingfaceInferenceApiModelTrigger
|
456 |
+
}
|
457 |
+
|
458 |
let defaulResult: RenderedScene = {
|
459 |
renderId: "",
|
460 |
status: "pending",
|
|
|
467 |
|
468 |
try {
|
469 |
if (renderingEngine === "REPLICATE") {
|
470 |
+
if (!replicateApiKey) {
|
471 |
+
throw new Error(`invalid replicateApiKey, you need to configure your AUTH_REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`)
|
|
|
|
|
|
|
472 |
}
|
473 |
|
474 |
const res = await fetch(`https://api.replicate.com/v1/predictions/${renderId}`, {
|
475 |
method: "GET",
|
476 |
headers: {
|
477 |
+
Authorization: `Token ${replicateApiKey}`,
|
478 |
},
|
479 |
cache: 'no-store',
|
480 |
// we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache)
|
src/app/interface/bottom-bar/index.tsx
CHANGED
@@ -7,6 +7,7 @@ import { upscaleImage } from "@/app/engine/render"
|
|
7 |
import { sleep } from "@/lib/sleep"
|
8 |
import { AIClipFactory } from "../ai-clip-factory"
|
9 |
import { Share } from "../share"
|
|
|
10 |
|
11 |
export function BottomBar() {
|
12 |
const download = useStore(state => state.download)
|
@@ -88,21 +89,16 @@ export function BottomBar() {
|
|
88 |
`space-x-3`,
|
89 |
`scale-[0.9]`
|
90 |
)}>
|
91 |
-
<
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
disabled={!prompt?.length || remainingImages > 0 || isUpscaling || !Object.values(upscaleQueue).length}
|
98 |
-
>
|
99 |
-
{isUpscaling
|
100 |
? `${allStatus.length - Object.values(upscaleQueue).length}/${allStatus.length} ⌛`
|
101 |
: "Upscale"}
|
102 |
-
|
103 |
-
|
104 |
-
}
|
105 |
-
</div>
|
106 |
{/*
|
107 |
<div>
|
108 |
<Button
|
|
|
7 |
import { sleep } from "@/lib/sleep"
|
8 |
import { AIClipFactory } from "../ai-clip-factory"
|
9 |
import { Share } from "../share"
|
10 |
+
import { SettingsDialog } from "../settings-dialog"
|
11 |
|
12 |
export function BottomBar() {
|
13 |
const download = useStore(state => state.download)
|
|
|
89 |
`space-x-3`,
|
90 |
`scale-[0.9]`
|
91 |
)}>
|
92 |
+
<SettingsDialog />
|
93 |
+
<Button
|
94 |
+
onClick={handleUpscale}
|
95 |
+
disabled={!prompt?.length || remainingImages > 0 || isUpscaling || !Object.values(upscaleQueue).length}
|
96 |
+
>
|
97 |
+
{isUpscaling
|
|
|
|
|
|
|
98 |
? `${allStatus.length - Object.values(upscaleQueue).length}/${allStatus.length} ⌛`
|
99 |
: "Upscale"}
|
100 |
+
</Button>
|
101 |
+
|
|
|
|
|
102 |
{/*
|
103 |
<div>
|
104 |
<Button
|
src/app/interface/panel/index.tsx
CHANGED
@@ -13,6 +13,7 @@ import { getInitialRenderedScene } from "@/lib/getInitialRenderedScene"
|
|
13 |
import { Progress } from "@/app/interface/progress"
|
14 |
import { EditModal } from "../edit-modal"
|
15 |
import { Bubble } from "./bubble"
|
|
|
16 |
|
17 |
export function Panel({
|
18 |
page,
|
@@ -124,7 +125,8 @@ export function Panel({
|
|
124 |
|
125 |
// TODO: here we never reset the revision, so only the first user
|
126 |
// comic will be cached (we should fix that later)
|
127 |
-
withCache: revision === 0
|
|
|
128 |
})
|
129 |
} catch (err) {
|
130 |
// "Failed to load the panel! Don't worry, we are retrying..")
|
@@ -133,6 +135,7 @@ export function Panel({
|
|
133 |
width,
|
134 |
height,
|
135 |
withCache,
|
|
|
136 |
})
|
137 |
}
|
138 |
|
@@ -174,7 +177,7 @@ export function Panel({
|
|
174 |
|
175 |
try {
|
176 |
setGeneratingImages(panelId, true)
|
177 |
-
const newRendered = await getRender(renderedRef.current.renderId)
|
178 |
|
179 |
if (JSON.stringify(renderedRef.current) !== JSON.stringify(newRendered)) {
|
180 |
setRendered(panelId, renderedRef.current = newRendered)
|
@@ -191,6 +194,7 @@ export function Panel({
|
|
191 |
width,
|
192 |
height,
|
193 |
withCache: false,
|
|
|
194 |
})
|
195 |
setRendered(panelId, newAttempt)
|
196 |
} catch (err) {
|
|
|
13 |
import { Progress } from "@/app/interface/progress"
|
14 |
import { EditModal } from "../edit-modal"
|
15 |
import { Bubble } from "./bubble"
|
16 |
+
import { getSettings } from "../settings-dialog/getSettings"
|
17 |
|
18 |
export function Panel({
|
19 |
page,
|
|
|
125 |
|
126 |
// TODO: here we never reset the revision, so only the first user
|
127 |
// comic will be cached (we should fix that later)
|
128 |
+
withCache: revision === 0,
|
129 |
+
settings: getSettings(),
|
130 |
})
|
131 |
} catch (err) {
|
132 |
// "Failed to load the panel! Don't worry, we are retrying..")
|
|
|
135 |
width,
|
136 |
height,
|
137 |
withCache,
|
138 |
+
settings: getSettings(),
|
139 |
})
|
140 |
}
|
141 |
|
|
|
177 |
|
178 |
try {
|
179 |
setGeneratingImages(panelId, true)
|
180 |
+
const newRendered = await getRender(renderedRef.current.renderId, getSettings())
|
181 |
|
182 |
if (JSON.stringify(renderedRef.current) !== JSON.stringify(newRendered)) {
|
183 |
setRendered(panelId, renderedRef.current = newRendered)
|
|
|
194 |
width,
|
195 |
height,
|
196 |
withCache: false,
|
197 |
+
settings: getSettings(),
|
198 |
})
|
199 |
setRendered(panelId, newAttempt)
|
200 |
} catch (err) {
|
src/app/interface/settings-dialog/defaultSettings.ts
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { RenderingModelVendor, Settings } from "@/types"
|
2 |
+
|
3 |
+
export const defaultSettings: Settings = {
|
4 |
+
renderingModelVendor: "SERVER" as RenderingModelVendor,
|
5 |
+
huggingfaceApiKey: "<USE YOUR OWN TOKEN>",
|
6 |
+
huggingfaceInferenceApiModel: "stabilityai/stable-diffusion-xl-base-1.0",
|
7 |
+
huggingfaceInferenceApiModelTrigger: "",
|
8 |
+
replicateApiKey: "<USE YOUR OWN TOKEN>",
|
9 |
+
replicateApiModel: "stabilityai/sdxl",
|
10 |
+
replicateApiModelVersion: "da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf",
|
11 |
+
replicateApiModelTrigger: "style of TOK",
|
12 |
+
openaiApiKey: "<USE YOUR OWN TOKEN>",
|
13 |
+
openaiApiModel: "dall-e-3",
|
14 |
+
}
|
src/app/interface/settings-dialog/field.tsx
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { ReactNode } from "react"
|
2 |
+
|
3 |
+
export function Field({ children }: { children: ReactNode }) {
|
4 |
+
return (
|
5 |
+
<div className="flex flex-col space-y-2">{children}</div>
|
6 |
+
)
|
7 |
+
}
|
src/app/interface/settings-dialog/getSettings.ts
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { RenderingModelVendor, Settings } from "@/types"
|
2 |
+
|
3 |
+
import { getValidString } from "@/lib/getValidString"
|
4 |
+
import { localStorageKeys } from "./localStorageKeys"
|
5 |
+
import { defaultSettings } from "./defaultSettings"
|
6 |
+
|
7 |
+
export function getSettings(): Settings {
|
8 |
+
try {
|
9 |
+
return {
|
10 |
+
renderingModelVendor: getValidString(localStorage?.getItem?.(localStorageKeys.renderingModelVendor), defaultSettings.renderingModelVendor) as RenderingModelVendor,
|
11 |
+
huggingfaceApiKey: getValidString(localStorage?.getItem?.(localStorageKeys.huggingfaceApiKey), defaultSettings.huggingfaceApiKey),
|
12 |
+
huggingfaceInferenceApiModel: getValidString(localStorage?.getItem?.(localStorageKeys.huggingfaceInferenceApiModel), defaultSettings.huggingfaceInferenceApiModel),
|
13 |
+
huggingfaceInferenceApiModelTrigger: getValidString(localStorage?.getItem?.(localStorageKeys.huggingfaceInferenceApiModelTrigger), defaultSettings.huggingfaceInferenceApiModelTrigger),
|
14 |
+
replicateApiKey: getValidString(localStorage?.getItem?.(localStorageKeys.replicateApiKey), defaultSettings.replicateApiKey),
|
15 |
+
replicateApiModel: getValidString(localStorage?.getItem?.(localStorageKeys.replicateApiModel), defaultSettings.replicateApiModel),
|
16 |
+
replicateApiModelVersion: getValidString(localStorage?.getItem?.(localStorageKeys.replicateApiModelVersion), defaultSettings.replicateApiModelVersion),
|
17 |
+
replicateApiModelTrigger: getValidString(localStorage?.getItem?.(localStorageKeys.replicateApiModelTrigger), defaultSettings.replicateApiModelTrigger),
|
18 |
+
openaiApiKey: getValidString(localStorage?.getItem?.(localStorageKeys.openaiApiKey), defaultSettings.openaiApiKey),
|
19 |
+
openaiApiModel: getValidString(localStorage?.getItem?.(localStorageKeys.openaiApiModel), defaultSettings.openaiApiModel),
|
20 |
+
}
|
21 |
+
} catch (err) {
|
22 |
+
return {
|
23 |
+
...defaultSettings
|
24 |
+
}
|
25 |
+
}
|
26 |
+
}
|
src/app/interface/settings-dialog/index.tsx
ADDED
@@ -0,0 +1,229 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
1 |
+
import { useState } from "react"
|
2 |
+
import { useLocalStorage } from 'usehooks-ts'
|
3 |
+
|
4 |
+
import { Button } from "@/components/ui/button"
|
5 |
+
import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog"
|
6 |
+
import {
|
7 |
+
Select,
|
8 |
+
SelectContent,
|
9 |
+
SelectItem,
|
10 |
+
SelectTrigger,
|
11 |
+
SelectValue,
|
12 |
+
} from "@/components/ui/select"
|
13 |
+
|
14 |
+
import { RenderingModelVendor } from "@/types"
|
15 |
+
import { Input } from "@/components/ui/input"
|
16 |
+
|
17 |
+
import { Label } from "./label"
|
18 |
+
import { Field } from "./field"
|
19 |
+
import { localStorageKeys } from "./localStorageKeys"
|
20 |
+
import { defaultSettings } from "./defaultSettings"
|
21 |
+
|
22 |
+
export function SettingsDialog() {
|
23 |
+
const [isOpen, setOpen] = useState(false)
|
24 |
+
const [renderingModelVendor, setRenderingModelVendor] = useLocalStorage<RenderingModelVendor>(
|
25 |
+
localStorageKeys.renderingModelVendor,
|
26 |
+
defaultSettings.renderingModelVendor
|
27 |
+
)
|
28 |
+
const [huggingfaceApiKey, setHuggingfaceApiKey] = useLocalStorage<string>(
|
29 |
+
localStorageKeys.huggingfaceApiKey,
|
30 |
+
defaultSettings.huggingfaceApiKey
|
31 |
+
)
|
32 |
+
const [huggingfaceInferenceApiModel, setHuggingfaceInferenceApiModel] = useLocalStorage<string>(
|
33 |
+
localStorageKeys.huggingfaceInferenceApiModel,
|
34 |
+
defaultSettings.huggingfaceInferenceApiModel
|
35 |
+
)
|
36 |
+
const [huggingfaceInferenceApiModelTrigger, setHuggingfaceInferenceApiModelTrigger] = useLocalStorage<string>(
|
37 |
+
localStorageKeys.huggingfaceInferenceApiModelTrigger,
|
38 |
+
defaultSettings.huggingfaceInferenceApiModelTrigger
|
39 |
+
)
|
40 |
+
const [replicateApiKey, setReplicateApiKey] = useLocalStorage<string>(
|
41 |
+
localStorageKeys.replicateApiKey,
|
42 |
+
defaultSettings.replicateApiKey
|
43 |
+
)
|
44 |
+
const [replicateApiModel, setReplicateApiModel] = useLocalStorage<string>(
|
45 |
+
localStorageKeys.replicateApiModel,
|
46 |
+
defaultSettings.replicateApiModel
|
47 |
+
)
|
48 |
+
const [replicateApiModelVersion, setReplicateApiModelVersion] = useLocalStorage<string>(
|
49 |
+
localStorageKeys.replicateApiModelVersion,
|
50 |
+
defaultSettings.replicateApiModelVersion
|
51 |
+
)
|
52 |
+
const [replicateApiModelTrigger, setReplicateApiModelTrigger] = useLocalStorage<string>(
|
53 |
+
localStorageKeys.replicateApiModelTrigger,
|
54 |
+
defaultSettings.replicateApiModelTrigger
|
55 |
+
)
|
56 |
+
const [openaiApiKey, setOpenaiApiKey] = useLocalStorage<string>(
|
57 |
+
localStorageKeys.openaiApiKey,
|
58 |
+
defaultSettings.openaiApiKey
|
59 |
+
)
|
60 |
+
const [openaiApiModel, setOpenaiApiModel] = useLocalStorage<string>(
|
61 |
+
localStorageKeys.openaiApiModel,
|
62 |
+
defaultSettings.openaiApiModel
|
63 |
+
)
|
64 |
+
|
65 |
+
return (
|
66 |
+
<Dialog open={isOpen} onOpenChange={setOpen}>
|
67 |
+
<DialogTrigger asChild>
|
68 |
+
<Button className="space-x-1 md:space-x-2">
|
69 |
+
<div>
|
70 |
+
<span className="hidden md:inline">Settings</span>
|
71 |
+
</div>
|
72 |
+
</Button>
|
73 |
+
</DialogTrigger>
|
74 |
+
<DialogContent className="sm:max-w-[500px]">
|
75 |
+
<DialogHeader>
|
76 |
+
<DialogDescription className="w-full text-center text-lg font-bold text-stone-800">
|
77 |
+
Custom Settings
|
78 |
+
</DialogDescription>
|
79 |
+
</DialogHeader>
|
80 |
+
<div className="grid gap-4 py-1 space-y-1 text-stone-800">
|
81 |
+
<p className="text-sm text-zinc-700">
|
82 |
+
Note: most vendors have a warm-up delay when using a custom or rarely used model. Do not hesitate to try again after 5 minutes if that happens.
|
83 |
+
</p>
|
84 |
+
<p className="text-sm text-zinc-700">
|
85 |
+
Security note: we do not save those settings on our side, instead they are stored inside your web browser, using the local storage.
|
86 |
+
</p>
|
87 |
+
<Field>
|
88 |
+
<Label>Image vendor:</Label>
|
89 |
+
<Select
|
90 |
+
onValueChange={(value: string) => {
|
91 |
+
setRenderingModelVendor(value as RenderingModelVendor)
|
92 |
+
}}
|
93 |
+
defaultValue={renderingModelVendor}>
|
94 |
+
<SelectTrigger className="">
|
95 |
+
<SelectValue placeholder="Theme" />
|
96 |
+
</SelectTrigger>
|
97 |
+
<SelectContent>
|
98 |
+
<SelectItem value="SERVER">Use server settings (default, recommended)</SelectItem>
|
99 |
+
<SelectItem value="HUGGINGFACE">Custom Hugging Face model (expert users)</SelectItem>
|
100 |
+
<SelectItem value="REPLICATE">Custom Replicate model (expert users)</SelectItem>
|
101 |
+
<SelectItem value="OPENAI">DALL·E 3 by OpenAI (partial support, in alpha)</SelectItem>
|
102 |
+
</SelectContent>
|
103 |
+
</Select>
|
104 |
+
</Field>
|
105 |
+
|
106 |
+
{renderingModelVendor === "HUGGINGFACE" && <>
|
107 |
+
<Field>
|
108 |
+
<Label>Hugging Face API Token:</Label>
|
109 |
+
<Input
|
110 |
+
className="font-mono"
|
111 |
+
type="password"
|
112 |
+
placeholder="Enter your private api token"
|
113 |
+
onChange={(x) => {
|
114 |
+
setHuggingfaceApiKey(x.target.value)
|
115 |
+
}}
|
116 |
+
value={huggingfaceApiKey}
|
117 |
+
/>
|
118 |
+
</Field>
|
119 |
+
<Field>
|
120 |
+
<Label>Hugging Face Inference API model:</Label>
|
121 |
+
<Input
|
122 |
+
className="font-mono"
|
123 |
+
placeholder="Name of the Inference API model"
|
124 |
+
onChange={(x) => {
|
125 |
+
setHuggingfaceInferenceApiModel(x.target.value)
|
126 |
+
}}
|
127 |
+
value={huggingfaceInferenceApiModel}
|
128 |
+
/>
|
129 |
+
</Field>
|
130 |
+
<p className="text-sm text-zinc-700">
|
131 |
+
Using a LoRA? Don't forget the trigger keyword! Also you will want to use the "Neutral" style.
|
132 |
+
</p>
|
133 |
+
<Field>
|
134 |
+
<Label>LoRA model trigger (optional):</Label>
|
135 |
+
<Input
|
136 |
+
className="font-mono"
|
137 |
+
placeholder="Trigger keyword (if you use a LoRA)"
|
138 |
+
onChange={(x) => {
|
139 |
+
setHuggingfaceInferenceApiModelTrigger(x.target.value)
|
140 |
+
}}
|
141 |
+
value={huggingfaceInferenceApiModelTrigger}
|
142 |
+
/>
|
143 |
+
</Field>
|
144 |
+
</>}
|
145 |
+
|
146 |
+
{renderingModelVendor === "OPENAI" && <>
|
147 |
+
<Field>
|
148 |
+
<Label>OpenAI API Token:</Label>
|
149 |
+
<Input
|
150 |
+
className="font-mono"
|
151 |
+
type="password"
|
152 |
+
placeholder="Enter your private api token"
|
153 |
+
onChange={(x) => {
|
154 |
+
setOpenaiApiKey(x.target.value)
|
155 |
+
}}
|
156 |
+
value={openaiApiKey}
|
157 |
+
/>
|
158 |
+
</Field>
|
159 |
+
<Field>
|
160 |
+
<Label>OpenAI image model:</Label>
|
161 |
+
<Input
|
162 |
+
className="font-mono"
|
163 |
+
placeholder="OpenAI image model"
|
164 |
+
onChange={(x) => {
|
165 |
+
setOpenaiApiModel(x.target.value)
|
166 |
+
}}
|
167 |
+
value={openaiApiModel}
|
168 |
+
/>
|
169 |
+
</Field>
|
170 |
+
</>}
|
171 |
+
|
172 |
+
{renderingModelVendor === "REPLICATE" && <>
|
173 |
+
<Field>
|
174 |
+
<Label>Replicate API Token:</Label>
|
175 |
+
<Input
|
176 |
+
className="font-mono"
|
177 |
+
type="password"
|
178 |
+
placeholder="Enter your private api token"
|
179 |
+
onChange={(x) => {
|
180 |
+
setReplicateApiKey(x.target.value)
|
181 |
+
}}
|
182 |
+
value={replicateApiKey}
|
183 |
+
/>
|
184 |
+
</Field>
|
185 |
+
<Field>
|
186 |
+
<Label>Replicate model name:</Label>
|
187 |
+
<Input
|
188 |
+
className="font-mono"
|
189 |
+
placeholder="Name of the Replicate model"
|
190 |
+
onChange={(x) => {
|
191 |
+
setReplicateApiModel(x.target.value)
|
192 |
+
}}
|
193 |
+
value={replicateApiModel}
|
194 |
+
/>
|
195 |
+
</Field>
|
196 |
+
<Field>
|
197 |
+
<Label>Model version:</Label>
|
198 |
+
<Input
|
199 |
+
className="font-mono"
|
200 |
+
placeholder="Version of the Replicate model"
|
201 |
+
onChange={(x) => {
|
202 |
+
setReplicateApiModelVersion(x.target.value)
|
203 |
+
}}
|
204 |
+
value={replicateApiModelVersion}
|
205 |
+
/>
|
206 |
+
</Field>
|
207 |
+
<p className="text-sm text-zinc-700">
|
208 |
+
Using a LoRA? Don't forget the trigger keyword! Also you will want to use the "Neutral" style.
|
209 |
+
</p>
|
210 |
+
<Field>
|
211 |
+
<Label>LoRA model trigger (optional):</Label>
|
212 |
+
<Input
|
213 |
+
className="font-mono"
|
214 |
+
placeholder={'LoRA trigger keyword eg. "style of TOK"'}
|
215 |
+
onChange={(x) => {
|
216 |
+
setReplicateApiModelTrigger(x.target.value)
|
217 |
+
}}
|
218 |
+
value={replicateApiModelTrigger}
|
219 |
+
/>
|
220 |
+
</Field>
|
221 |
+
</>}
|
222 |
+
</div>
|
223 |
+
<DialogFooter>
|
224 |
+
<Button type="submit" onClick={() => setOpen(false)}>Close</Button>
|
225 |
+
</DialogFooter>
|
226 |
+
</DialogContent>
|
227 |
+
</Dialog>
|
228 |
+
)
|
229 |
+
}
|
src/app/interface/settings-dialog/label.tsx
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { ReactNode } from "react"
|
2 |
+
|
3 |
+
export function Label({ children }: { children: ReactNode }) {
|
4 |
+
return (
|
5 |
+
<label className="text-base font-semibold text-zinc-700">{children}</label>
|
6 |
+
)
|
7 |
+
}
|
src/app/interface/settings-dialog/localStorageKeys.ts
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { Settings } from "@/types"
|
2 |
+
|
3 |
+
export const localStorageKeys: Record<keyof Settings, string> = {
|
4 |
+
renderingModelVendor: "CONF_RENDERING_MODEL_VENDOR",
|
5 |
+
huggingfaceApiKey: "CONF_AUTH_HF_API_TOKEN",
|
6 |
+
huggingfaceInferenceApiModel: "CONF_RENDERING_HF_INFERENCE_API_BASE_MODEL",
|
7 |
+
huggingfaceInferenceApiModelTrigger: "CONF_RENDERING_HF_INFERENCE_API_BASE_MODEL_TRIGGER",
|
8 |
+
replicateApiKey: "CONF_AUTH_REPLICATE_API_TOKEN",
|
9 |
+
replicateApiModel: "CONF_RENDERING_REPLICATE_API_MODEL",
|
10 |
+
replicateApiModelVersion: "CONF_RENDERING_REPLICATE_API_MODEL_VERSION",
|
11 |
+
replicateApiModelTrigger: "CONF_RENDERING_REPLICATE_API_MODEL_TRIGGER",
|
12 |
+
openaiApiKey: "CONF_AUTH_OPENAI_API_KEY",
|
13 |
+
openaiApiModel: "CONF_AUTH_OPENAI_API_MODEL",
|
14 |
+
}
|
src/app/interface/share/index.tsx
CHANGED
@@ -88,26 +88,7 @@ ${comicFileMd}`;
|
|
88 |
const paramsStr = params.toString();
|
89 |
window.open(`https://huggingface.co/spaces/jbilcke-hf/comic-factory/discussions/new?${paramsStr}`, '_blank');
|
90 |
}
|
91 |
-
|
92 |
-
<div>
|
93 |
-
{
|
94 |
-
// there is an issue, this env check doesn't work..
|
95 |
-
// process.env.NEXT_PUBLIC_ENABLE_COMMUNITY_SHARING === "true" ?
|
96 |
-
<Button
|
97 |
-
onClick={handleShare}
|
98 |
-
disabled={!prompt?.length}
|
99 |
-
className="space-x-2"
|
100 |
-
>
|
101 |
-
<div className="scale-105"><HuggingClap /></div>
|
102 |
-
<div>
|
103 |
-
<span className="hidden md:inline">{remainingImages ? `⌛` : `Share to community`}</span>
|
104 |
-
<span className="inline md:hidden">{remainingImages ? `⌛` : `Share`}</span>
|
105 |
-
</div>
|
106 |
-
</Button>
|
107 |
-
//: null
|
108 |
-
}
|
109 |
-
</div>
|
110 |
-
|
111 |
return (
|
112 |
<Dialog open={isOpen} onOpenChange={setOpen}>
|
113 |
<DialogTrigger asChild>
|
|
|
88 |
const paramsStr = params.toString();
|
89 |
window.open(`https://huggingface.co/spaces/jbilcke-hf/comic-factory/discussions/new?${paramsStr}`, '_blank');
|
90 |
}
|
91 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
92 |
return (
|
93 |
<Dialog open={isOpen} onOpenChange={setOpen}>
|
94 |
<DialogTrigger asChild>
|
src/app/main.tsx
CHANGED
@@ -52,7 +52,11 @@ export default function Main() {
|
|
52 |
preset,
|
53 |
prompt: [
|
54 |
`${userStoryPrompt}`,
|
55 |
-
|
|
|
|
|
|
|
|
|
56 |
].filter(x => x).join(", "), nbTotalPanels })
|
57 |
console.log("LLM responded:", llmResponse)
|
58 |
|
|
|
52 |
preset,
|
53 |
prompt: [
|
54 |
`${userStoryPrompt}`,
|
55 |
+
|
56 |
+
// not necessary + it confuses the LLM if we use custom
|
57 |
+
// + the LLM may reject some of the styles
|
58 |
+
// stylePrompt ? `in the following context: ${stylePrompt}` : ''
|
59 |
+
|
60 |
].filter(x => x).join(", "), nbTotalPanels })
|
61 |
console.log("LLM responded:", llmResponse)
|
62 |
|
src/lib/getValidString.ts
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
export function getValidString(something: any, defaultValue: string) {
|
2 |
+
const strValue = `${something || defaultValue}`
|
3 |
+
try {
|
4 |
+
return JSON.parse(strValue) || defaultValue
|
5 |
+
} catch (err) {
|
6 |
+
return defaultValue
|
7 |
+
}
|
8 |
+
}
|
src/types.ts
CHANGED
@@ -87,13 +87,19 @@ export type LLMEngine =
|
|
87 |
| "OPENAI"
|
88 |
| "REPLICATE"
|
89 |
|
90 |
-
export type RenderingEngine =
|
91 |
| "VIDEOCHAIN"
|
92 |
| "OPENAI"
|
93 |
| "REPLICATE"
|
94 |
| "INFERENCE_API"
|
95 |
| "INFERENCE_ENDPOINT"
|
96 |
|
|
|
|
|
|
|
|
|
|
|
|
|
97 |
export type PostVisibility =
|
98 |
| "featured" // featured by admins
|
99 |
| "trending" // top trending / received more than 10 upvotes
|
@@ -133,3 +139,16 @@ export type LayoutProps = {
|
|
133 |
page: number
|
134 |
nbPanels: number
|
135 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
87 |
| "OPENAI"
|
88 |
| "REPLICATE"
|
89 |
|
90 |
+
export type RenderingEngine =
|
91 |
| "VIDEOCHAIN"
|
92 |
| "OPENAI"
|
93 |
| "REPLICATE"
|
94 |
| "INFERENCE_API"
|
95 |
| "INFERENCE_ENDPOINT"
|
96 |
|
97 |
+
export type RenderingModelVendor =
|
98 |
+
| "SERVER"
|
99 |
+
| "OPENAI"
|
100 |
+
| "REPLICATE"
|
101 |
+
| "HUGGINGFACE"
|
102 |
+
|
103 |
export type PostVisibility =
|
104 |
| "featured" // featured by admins
|
105 |
| "trending" // top trending / received more than 10 upvotes
|
|
|
139 |
page: number
|
140 |
nbPanels: number
|
141 |
}
|
142 |
+
|
143 |
+
export type Settings = {
|
144 |
+
renderingModelVendor: RenderingModelVendor
|
145 |
+
huggingfaceApiKey: string
|
146 |
+
huggingfaceInferenceApiModel: string
|
147 |
+
huggingfaceInferenceApiModelTrigger: string
|
148 |
+
replicateApiKey: string
|
149 |
+
replicateApiModel: string
|
150 |
+
replicateApiModelVersion: string
|
151 |
+
replicateApiModelTrigger: string
|
152 |
+
openaiApiKey: string
|
153 |
+
openaiApiModel: string
|
154 |
+
}
|