basic_usage.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from diffusers import AutoPipelineForText2Image\n",
    "import torch\n",
    "\n",
    "from src.linfusion import LinFusion\n",
    "from src.tools import seed_everything"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sd_repo = \"Lykon/dreamshaper-8\"\n",
    "\n",
    "pipeline = AutoPipelineForText2Image.from_pretrained(\n",
    "    sd_repo, torch_dtype=torch.float16, variant=\"fp16\"\n",
    ").to(torch.device(\"cuda\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "linfusion = LinFusion.construct_for(pipeline, pretrained_model_name_or_path=\"Yuanshi/LinFusion-1-5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "seed_everything(123)\n",
    "image = pipeline(\n",
    "\t\"An astronaut floating in space. Beautiful view of the stars and the universe in the background.\"\n",
    ").images[0]\n",
    "image"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "new_vc",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}