{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2c0da293",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\henrisel.DOMENIS\\DeltaVR3DModelGeneration\\3d-generation-pipeline\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "from diffusers import FluxPipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51879ff1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Fetching 23 files:   0%|          | 0/23 [00:00<?, ?it/s]"
     ]
    }
   ],
   "source": [
    "model_name = \"black-forest-labs/FLUX.1-schnell\"\n",
    "\n",
    "pipe = FluxPipeline.from_pretrained(model_name, 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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50a38bf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "prompt = \"slightly curved sword, one side blue and other side green\"\n",
    "pipe_result = pipe(\n",
    "    prompt,\n",
    "    guidance_scale=0.0,\n",
    "    num_inference_steps=4,\n",
    "    max_sequence_length=256,\n",
    "    generator=torch.Generator(\"gpu\")\n",
    ")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b692177a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pipe_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d55eb3ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = pipe_result[\"images\"][0]\n",
    "image.save(\"flux-schnell.png\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}