Qwen-Image.ipynb

qwen-image.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/alfredplpl/5dd94043240ebf6f115f1bf560b0c5ac/qwen-image.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FHyQ_msUkkSf"
      },
      "outputs": [],
      "source": [
        "!pip install -U bitsandbytes\n",
        "!pip install git+https://github.com/huggingface/diffusers\n",
        "!pip install hf-transfer"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.environ[\"HF_HUB_ENABLE_HF_TRANSFER\"] = \"1\""
      ],
      "metadata": {
        "id": "r2bULHGQ6M2Y"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "K4e1zj3Gl4D8"
      },
      "outputs": [],
      "source": [
        "from diffusers import DiffusionPipeline, PipelineQuantizationConfig\n",
        "import torch\n",
        "\n",
        "quant_config = PipelineQuantizationConfig(\n",
        "    quant_backend=\"bitsandbytes_4bit\",\n",
        "    quant_kwargs={\"load_in_4bit\": True, \"bnb_4bit_quant_type\": \"nf4\", \"bnb_4bit_compute_dtype\": torch.bfloat16},\n",
        "    components_to_quantize=[\"transformer\", \"text_encoder\"],\n",
        ")\n",
        "pipe = DiffusionPipeline.from_pretrained(\n",
        "\t\"Qwen/Qwen-Image\",\n",
        "\tquantization_config=quant_config,\n",
        "\ttorch_dtype=torch.bfloat16\n",
        ")\n",
        "pipe.enable_model_cpu_offload()\n",
        "\n",
        "aspect_ratios = {\n",
        "    \"1:1\": (1328, 1328),\n",
        "    \"16:9\": (1664, 928),\n",
        "    \"9:16\": (928, 1664),\n",
        "    \"4:3\": (1472, 1140),\n",
        "    \"3:4\": (1140, 1472)\n",
        "}\n",
        "\n",
        "width, height = aspect_ratios[\"9:16\"]\n",
        "\n",
        "prompt = \"Japanese anime style, a cat holding a sign that says hello world\"\n",
        "negative_prompt=\"3d, cg, photo\"\n",
        "image = pipe(\n",
        "    prompt=prompt,\n",
        "    negative_prompt=negative_prompt,\n",
        "    width=width,\n",
        "    height=height,\n",
        "    num_inference_steps=50,\n",
        "    true_cfg_scale=4.0,\n",
        ").images[0]\n",
        "image.save(\"qwenimage_nf4.png\")"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "L4",
      "machine_shape": "hm",
      "provenance": [],
      "authorship_tag": "ABX9TyPGnm3ab2qQG/2j5SMxop91",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}

生成物