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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16d67fa4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from diffusers import FluxPipeline\n",
    "from huggingface_hub import login as hf_login\n",
    "\n",
    "print(\"Setup ...\")\n",
    "hf_login(token=\"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\")\n",
    "pipe = FluxPipeline.from_pretrained(\"black-forest-labs/FLUX.1-dev\", torch_dtype=torch.bfloat16)\n",
    "pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power\n",
    "\n",
    "prompt = \"A cat holding a sign that says hello world\"\n",
    "print(\"Generating image ...\")\n",
    "image = pipe(\n",
    "    prompt,\n",
    "    height=1024,\n",
    "    width=1024,\n",
    "    guidance_scale=3.5,\n",
    "    num_inference_steps=50,\n",
    "    max_sequence_length=512,\n",
    "    generator=torch.Generator(\"cpu\").manual_seed(0)\n",
    ").images[0]\n",
    "image.save(\"flux-dev.png\")"
   ]
  }
 ],
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