Files
llama-swap/ui-svelte/vite.config.ts
T
Benson Wong 15bd55d3a9 proxy, ui-svelte: add /sdapi/v1 endpoint support (#587)
Add proxy routes for stable-diffusion.cpp's /sdapi/v1/txt2img,
/sdapi/v1/img2img, and /sdapi/v1/loras endpoints. POST endpoints
use proxyInferenceHandler (model in JSON body), GET /loras uses
proxyGETModelHandler (model in query param).

Update the image playground with a dual-mode UI supporting both
OpenAI and SDAPI backends. In SDAPI mode, loras are fetched first
to prime the server-side cache, and all txt2img parameters are
exposed (negative prompt, steps, cfg_scale, seed, batch_size,
clip_skip, sampler, scheduler, lora selection with multipliers).

- Add 3 sdapi route registrations in proxymanager.go
- Add sdApi.ts client with generateSdImage and fetchSdLoras
- Add SDAPI types (SdApiTxt2ImgRequest, SdApiResponse, etc.)
- Add /sdapi to vite dev proxy config
- Add backend tests for sdapi routing
- Support batch image display in gallery grid

https://claude.ai/code/session_0186MGX6NXdHVBTv2KH45fqn

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-03-19 22:08:31 +09:00

39 lines
1000 B
TypeScript

import { defineConfig } from "vite";
import { svelte } from "@sveltejs/vite-plugin-svelte";
import tailwindcss from "@tailwindcss/vite";
import { compression } from "vite-plugin-compression2";
// https://vite.dev/config/
export default defineConfig({
plugins: [
svelte(),
tailwindcss(),
compression({
algorithm: "gzip",
exclude: [/\.(br)$/, /\.(gz)$/],
threshold: 1024,
}),
compression({
algorithm: "brotliCompress",
exclude: [/\.(br)$/, /\.(gz)$/],
threshold: 1024,
filename: "[path][base].br",
}),
],
base: "/ui/",
build: {
outDir: "../proxy/ui_dist",
assetsDir: "assets",
},
server: {
proxy: {
"/api": "http://localhost:8080", // Proxy API calls to Go backend during development
"/logs": "http://localhost:8080",
"/upstream": "http://localhost:8080",
"/unload": "http://localhost:8080",
"/v1": "http://localhost:8080",
"/sdapi": "http://localhost:8080",
},
},
});