3d-diffusion/3_local_stable3dim_multiview_point_e.ipynb

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   "source": [
    "### Test 3\n",
    "## Novel view synthesis with 3D-Diffusion\n",
    "Combining the previous two tests, we attempt to improve text-to-3d with multiple synthetic views starting from a text prompt.\n",
    "We use [3D Diffusion (Watson et al. 2022)](https://arxiv.org/abs/2210.04628), a generative model that given an image and (R, t) matrices, it generates a novel view for that object (it works also in a autoregressive way). \n",
    "\n",
    "<img src=\"../img/3d_diffusion.png\" alt= \"Stable-Point-E Pipeline\" width=\"700px\">\n",
    "\n",
    "Since training this model took hundreds of GPU hours, a pre-trained version is available, but only for the SRN Cars dataset. Currently we are taking part in the collaborative effort of training and publishing an open source of 3D Diffusion with the LAION AI group ([code](https://github.com/halixness/distributed-3d-diffusion-pytorch))([dataset](https://github.com/LAION-AI/laion-3d)).  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "uX_QlOFt019Y",
    "vscode": {
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    }
   },
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import torch\n",
    "from tqdm.auto import tqdm\n",
    "from torchvision import transforms\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from diffusers import StableDiffusionInpaintPipeline, DPMSolverMultistepScheduler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "Qutwy4Mk1YRJ",
    "vscode": {
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    }
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   "outputs": [],
   "source": [
    "# Initial parameters\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "generated_images = []\n",
    "num_views = 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Single view text-to-img with Stable Diffusion 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "vscode": {
     "languageId": "python"
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   "outputs": [],
   "source": [
    "img_size = 512\n",
    "border = 100\n",
    "background_color = 255\n",
    "\n",
    "# Starting image is a square on white bg\n",
    "booth = np.ones((img_size, img_size,3))*background_color\n",
    "booth[border:img_size-border,border:img_size-border,:] = 0\n",
    "booth = Image.fromarray(booth.astype(np.uint8()))\n",
    "\n",
    "mask = np.zeros((img_size,img_size,3))\n",
    "mask[border:img_size-border,border:img_size-border,:] = 255\n",
    "mask = Image.fromarray(mask.astype(np.uint8()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "python"
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   "outputs": [],
   "source": [
    "tensor2img = transforms.ToPILImage()\n",
    "img2tensor = transforms.PILToTensor()"
   ]
  },
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "text_encoder\\model.safetensors not found\n"
     ]
    },
    {
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       "model_id": "7951b43abf894244880f6732bb203098",
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      },
      "text/plain": [
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      ]
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Inpainting with stable diffusion 2\n",
    "pipe = StableDiffusionInpaintPipeline.from_pretrained(\n",
    "    \"stabilityai/stable-diffusion-2-inpainting\",\n",
    "    torch_dtype=torch.float16,\n",
    ").to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "vscode": {
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    }
   ],
   "source": [
    "# Prompt engineering and low resolution image generation\n",
    "prompt = \"a red sportscar\"\n",
    "prompt_details = \", full body frontal camera view, white background, blender render, high resolution, standard light, no reflections\"\n",
    "dim3_img_size = 64\n",
    "\n",
    "input_image = pipe(prompt=prompt + prompt_details, image=booth, mask_image=mask).images[0].resize((dim3_img_size, dim3_img_size))"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {
    "vscode": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(input_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "input_image = img2tensor(input_image) / 255 * 2 - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Novel view synthesis with 3D Diffusion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "# Saving GPU memory\n",
    "torch.cuda.empty_cache()\n",
    "del pipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "from xunet import XUNet\n",
    "\n",
    "from random import randrange\n",
    "import torch\n",
    "import torch.nn.functional as F\n",
    "\n",
    "from tqdm import tqdm\n",
    "from einops import rearrange\n",
    "import time\n",
    "\n",
    "from SRNdataset import dataset, MultiEpochsDataLoader\n",
    "from tensorboardX import SummaryWriter\n",
    "import os\n",
    "import glob\n",
    "from PIL import Image\n",
    "import random"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** this cell of code mainly comes from the official implementation of k-diffusion by Katherine Crowson ([code](https://github.com/crowsonkb/k-diffusion))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "def logsnr_schedule_cosine(t, *, logsnr_min=-20., logsnr_max=20.):\n",
    "    b = np.arctan(np.exp(-.5 * logsnr_max))\n",
    "    a = np.arctan(np.exp(-.5 * logsnr_min)) - b\n",
    "    \n",
    "    return -2. * torch.log(torch.tan(a * t + b))\n",
    "\n",
    "# -----------------------------------------------------\n",
    "\n",
    "def xt2batch(x, logsnr, z, R, T, K):\n",
    "    b = x.shape[0]\n",
    "    return {\n",
    "        'x': x.cuda(),\n",
    "        'z': z.cuda(),\n",
    "        'logsnr': torch.stack([logsnr_schedule_cosine(torch.zeros_like(logsnr)), logsnr], dim=1).cuda(),\n",
    "        'R': R.cuda(),\n",
    "        't': T.cuda(),\n",
    "        'K':K[None].repeat(b,1,1).cuda(),\n",
    "    }\n",
    "\n",
    "# ----------------------- Diffusion forward process -----------------------\n",
    "\n",
    "@torch.no_grad()\n",
    "def sample(model, record, target_R, target_T, K, w, timesteps=256):\n",
    "    \"\"\"\n",
    "        Forward process\n",
    "        record: first view of the object with (R, t)\n",
    "        target_R, target_T: given these rotations, predict the view\n",
    "    \"\"\"\n",
    "    b = w.shape[0]\n",
    "    img = torch.randn_like(torch.tensor(record[0][0]))\n",
    "    \n",
    "    logsnrs = logsnr_schedule_cosine(torch.linspace(1., 0., timesteps+1)[:-1])\n",
    "    logsnr_nexts = logsnr_schedule_cosine(torch.linspace(1., 0., timesteps+1)[1:])\n",
    "    \n",
    "    for logsnr, logsnr_next in tqdm(zip(logsnrs, logsnr_nexts), total=len(logsnrs), desc='diffusion loop', position=1, leave=False): # [1, ..., 0] = size is 257\n",
    "        condition_img, condition_R, condition_T = random.choice(record)\n",
    "        condition_img = torch.tensor(condition_img)\n",
    "        condition_R = torch.tensor(condition_R)\n",
    "        condition_T = torch.tensor(condition_T)\n",
    "        \n",
    "        R = torch.stack([condition_R, target_R], 0)[None].repeat(b, 1, 1, 1)\n",
    "        T = torch.stack([condition_T, target_T], 0)[None].repeat(b, 1, 1)\n",
    "        condition_img = condition_img\n",
    "        img = p_sample(model,\n",
    "                       z=img,\n",
    "                       x=condition_img, \n",
    "                       R=R,\n",
    "                       T=T,\n",
    "                       K=K,\n",
    "                       logsnr=logsnr, logsnr_next=logsnr_next,\n",
    "                       w=w)\n",
    "        \n",
    "    return img.cpu().numpy()\n",
    "\n",
    "# -----------------------------------------------------\n",
    "\n",
    "def q_sample(z, logsnr, noise):\n",
    "    \"\"\"\n",
    "        Forward: q(x_t|x_0)\n",
    "    \"\"\"\n",
    "    # lambdas = logsnr_schedule_cosine(t)\n",
    "    \n",
    "    alpha = logsnr.sigmoid().sqrt()\n",
    "    sigma = (-logsnr).sigmoid().sqrt()\n",
    "    \n",
    "    alpha = alpha[:,None, None, None]\n",
    "    sigma = sigma[:,None, None, None]\n",
    "\n",
    "    return alpha * z + sigma * noise\n",
    "\n",
    "\n",
    "# ----------------------- Diffusion backward process -----------------------\n",
    "\n",
    "@torch.no_grad()\n",
    "def p_sample(model, x, z, R, T, K, logsnr, logsnr_next, w):\n",
    "    \"\"\"\n",
    "        Backward process: epsilon_0(x_t, t)\n",
    "    \"\"\"\n",
    "    \n",
    "    model_mean, model_variance = p_mean_variance(model, x=x, z=z, R=R, T=T, K=K, logsnr=logsnr, logsnr_next=logsnr_next, w=w)\n",
    "    \n",
    "    if logsnr_next==0:\n",
    "        return model_mean\n",
    "    \n",
    "    return model_mean + model_variance.sqrt() * torch.randn_like(x).cpu()\n",
    "\n",
    "# -----------------------------------------------------\n",
    "\n",
    "@torch.no_grad()\n",
    "def p_mean_variance(model, x, z, R, T, K, logsnr, logsnr_next, w=2.0):\n",
    "    \"\"\"\n",
    "        Backward process (and variance)\n",
    "    \"\"\"\n",
    "    \n",
    "    strt = time.time()\n",
    "    b = x.shape[0]\n",
    "    w = w[:, None, None, None]\n",
    "    \n",
    "    c = - torch.special.expm1(logsnr - logsnr_next)\n",
    "\n",
    "    squared_alpha, squared_alpha_next = logsnr.sigmoid(), logsnr_next.sigmoid()\n",
    "    squared_sigma, squared_sigma_next = (-logsnr).sigmoid(), (-logsnr_next).sigmoid()\n",
    "    \n",
    "    alpha, sigma, alpha_next = map(lambda x: x.sqrt(), (squared_alpha, squared_sigma, squared_alpha_next))\n",
    "    \n",
    "    # batch = xt2batch(x, logsnr.repeat(b), z, R)\n",
    "    batch = xt2batch(x, logsnr.repeat(b), z, R, T, K)\n",
    "    \n",
    "    strt = time.time()\n",
    "\n",
    "    # Predicted noise\n",
    "    pred_noise = model(batch, cond_mask= torch.tensor([True]*b)).detach().cpu()\n",
    "    batch['x'] = torch.randn_like(x).cuda()\n",
    "    pred_noise_unconditioned = model(batch, cond_mask= torch.tensor([False]*b)).detach().cpu()\n",
    "    \n",
    "    pred_noise_final = (1+w) * pred_noise - w * pred_noise_unconditioned\n",
    "    \n",
    "    z = z.detach().cpu()\n",
    "    \n",
    "    # actual predicted x_0\n",
    "    z_start = (z - sigma * pred_noise_final) / alpha\n",
    "    z_start.clamp_(-1., 1.)\n",
    "    \n",
    "    model_mean = alpha_next * (z * (1 - c) / alpha + c * z_start)\n",
    "    \n",
    "    posterior_variance = squared_sigma_next * c\n",
    "    \n",
    "    return model_mean, posterior_variance\n",
    "\n",
    "# -----------------------------------------------------\n",
    "\n",
    "def p_losses(denoise_model, img, R, T, K, logsnr, noise=None, loss_type=\"l2\", cond_prob=0.1):\n",
    "    \"\"\"\n",
    "        Backward process loss: E[|| epsilon - epsilon_0(x_t, t)||]\n",
    "    \"\"\"\n",
    "    B = img.shape[0]\n",
    "    x = img[:, 0]\n",
    "    z = img[:, 1]\n",
    "    if noise is None:\n",
    "        noise = torch.randn_like(x)\n",
    "\n",
    "    z_noisy = q_sample(z=z, logsnr=logsnr, noise=noise)\n",
    "    \n",
    "    \n",
    "    cond_mask = (torch.rand((B,)) > cond_prob).cuda()\n",
    "    \n",
    "    x_condition = torch.where(cond_mask[:, None, None, None], x, torch.randn_like(x))\n",
    "    \n",
    "    batch = xt2batch(x=x_condition, logsnr=logsnr, z=z_noisy, R=R, T=T, K=K)\n",
    "    \n",
    "    predicted_noise = denoise_model(batch, cond_mask=cond_mask.cuda())\n",
    "\n",
    "    if loss_type == 'l1':\n",
    "        loss = F.l1_loss(noise.to(device), predicted_noise)\n",
    "    elif loss_type == 'l2':\n",
    "        loss = F.mse_loss(noise.to(device), predicted_noise)\n",
    "    elif loss_type == \"huber\":\n",
    "        loss = F.smooth_l1_loss(noise.to(device), predicted_noise)\n",
    "    else:\n",
    "        raise NotImplementedError()\n",
    "\n",
    "    return loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Model pre-trained on SRN-cars\n",
    "pretrained_model = \"trained_model.pt\"\n",
    "model = XUNet(H=dim3_img_size, W=dim3_img_size, ch=128)\n",
    "model = torch.nn.DataParallel(model)\n",
    "model.to(device)\n",
    "\n",
    "ckpt = torch.load(pretrained_model)\n",
    "model.load_state_dict(ckpt['model'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "import os, random\n",
    "\n",
    "base_path = os.path.join(\"..\", \"..\", \"distributed-3d-diffusion-pytorch\", \"data\", \"SRN\", \"cars_train\")\n",
    "samples = os.listdir(base_path)\n",
    "\n",
    "# Get one random sample from SRN cars dataset\n",
    "idx = random.randint(1, len(samples))\n",
    "imgsize = 64\n",
    "\n",
    "# Collection of (view, rotation matrix, translation matrix) of the object\n",
    "data_imgs = []\n",
    "data_Rs = []\n",
    "data_Ts = []\n",
    "    \n",
    "# For all the available views for that sample\n",
    "for root, dirs, files in os.walk(os.path.join(base_path, samples[idx], \"rgb\")):\n",
    "    for f in sorted(files):\n",
    "        # View\n",
    "        img = Image.open(os.path.join(base_path, samples[idx], \"rgb\", f))\n",
    "        img = img.resize((imgsize, imgsize))\n",
    "        img = np.array(img) / 255 * 2 - 1\n",
    "        img = img.transpose(2,0,1)[:3].astype(np.float32)\n",
    "        data_imgs.append(img)\n",
    "    \n",
    "        # Rotation/translation matrix parsing\n",
    "        pose_filename = os.path.join(base_path, samples[idx], \"pose\", f)[:-4]+\".txt\"\n",
    "        pose = np.array(open(pose_filename).read().strip().split()).astype(float).reshape((4,4))\n",
    "\n",
    "        data_Rs.append(pose[:3, :3])\n",
    "        data_Ts.append(pose[:3, 3])\n",
    "\n",
    "# read the last sample's calibration matrix as default (from paper implementation)\n",
    "data_K = np.array(\n",
    "    open(\n",
    "        os.path.join(\n",
    "            base_path, samples[idx], \"intrinsics\", f[:-4]+\".txt\"\n",
    "        )\n",
    "    ).read().strip().split()).astype(float).reshape((3,3)\n",
    ")\n",
    "\n",
    "data_K = torch.tensor(data_K)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data_imgs \t torch.Size([250, 3, 64, 64])\n",
      "data_R \t\t torch.Size([250, 3, 3])\n",
      "data_T \t\t torch.Size([250, 3])\n",
      "data_K \t\t torch.Size([3, 3])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\xdieg\\AppData\\Local\\Temp\\ipykernel_19816\\1735239327.py:1: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at  C:\\cb\\pytorch_1000000000000\\work\\torch\\csrc\\utils\\tensor_new.cpp:204.)\n",
      "  print(\"data_imgs \\t\", torch.Tensor(data_imgs).size())\n"
     ]
    }
   ],
   "source": [
    "# sample, channel, width, height\n",
    "print(\"data_imgs \\t\", torch.Tensor(data_imgs).size())\n",
    "\n",
    "# sample, 3, 3\n",
    "print(\"data_R \\t\\t\", torch.Tensor(data_Rs).size())\n",
    "\n",
    "# sample, 3\n",
    "print(\"data_T \\t\\t\", torch.Tensor(data_Ts).size())\n",
    "\n",
    "\n",
    "# sample, 3, 3\n",
    "print(\"data_K \\t\\t\", torch.Tensor(data_K).size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "# Count of images to generate\n",
    "w = torch.tensor([0])\n",
    "b = w.shape[0]\n",
    "\n",
    "# Input img pose\n",
    "input_image_pose = np.array(open(\"pose.txt\").read().strip().split()).astype(float).reshape((4,4))\n",
    "\n",
    "# Take the Stable Diffusion synthetic, single view and concat the initial pose (provided with file)\n",
    "record = [[\n",
    "    np.expand_dims(np.asarray(input_image).repeat(b, axis=0), 0), \n",
    "    input_image_pose[:3, :3],\n",
    "    input_image_pose[:3, 3],\n",
    "]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 3, 64, 64])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# takes the first image, repeat it x images to generate times\n",
    "# take the Rotation of first image\n",
    "# take the position of first image\n",
    "torch.Tensor(record[0][0]).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true,
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "with torch.no_grad():\n",
    "    step = 1\n",
    "    start_idx = 0\n",
    "    end_idx = num_views\n",
    "    \n",
    "    # For each (view, rotation, translation)\n",
    "    for gt, R, T in tqdm(zip(data_imgs[start_idx:end_idx], data_Rs[start_idx:end_idx], data_Ts[start_idx:end_idx]), total=len(data_imgs[start_idx:]), desc='view loop', position=0):\n",
    "        R = torch.tensor(R)\n",
    "        T = torch.tensor(T)\n",
    "\n",
    "        \"\"\"\n",
    "            record: first view of the object, (img, R, t)\n",
    "            target_R, target_T: given these rotations, predict the view\n",
    "            data_K: just ONE calibration matrix (original code picks the last intrinsics)\n",
    "        \"\"\"\n",
    "        img = sample(model, record=record, target_R=R, target_T=T, K=data_K, w=w)\n",
    "\n",
    "        # augment the conditioning record with the generated ones => autoregressive\n",
    "        record.append([img, R.cpu().numpy(), T.cpu().numpy()])\n",
    "\n",
    "        # we have generated w.size() views! (one by default)\n",
    "        for i in w:\n",
    "            generated_view = ((img[0].transpose(1,2,0)+1)*127.5).astype(np.uint8)\n",
    "            generated_images.append(tensor2img(generated_view))\n",
    "        \n",
    "        step += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = 2\n",
    "rows = (num_views // cols)\n",
    "f, axarr = plt.subplots(rows, cols)\n",
    "for i in range(num_views):\n",
    "    axarr[i // cols, i % cols].imshow(generated_images[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "for i, img  in enumerate(generated_images):\n",
    "    img.save(\"{:04d}.png\".format(i))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Point cloud generation with synthetic multi views"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "# may require to install the pkg from the root with pip install -e .\n",
    "from point_e.diffusion.configs import DIFFUSION_CONFIGS, diffusion_from_config\n",
    "from point_e.diffusion.sampler import PointCloudSampler\n",
    "from point_e.models.download import load_checkpoint\n",
    "from point_e.models.configs import MODEL_CONFIGS, model_from_config\n",
    "from point_e.util.plotting import plot_point_cloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Strange thing: even though the num. tokens is changed, the transformer still loads the pre-trained weights and it also accepts inputs with a different number of tokens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 185,
     "referenced_widgets": [
      "9f17843d51864609aca8c1a81b5f3b1d",
      "b88999727ad74bfda020fde27e4cdb48",
      "8372af4d862343b48cc531a0da946585",
      "0c4e8640f7fb403b8a824c791591dcc5",
      "de9cce7ac751480b82d2ec45fcf73569",
      "7d7b04eff89042969ed8db8c8c61b3e6",
      "b1c5eff49a01407f8abebc5391d533c9",
      "f96c20b9acca4384ada91cc9efb69f73",
      "1f0d77cd19db4005aac6412af93d2e99",
      "be368d24ad6c49489cc3fb24c238307a",
      "645194c1854c4c9290ab7c38bfc0eb34",
      "98a22b6fd21a499b8e393953ca1e962c",
      "21090be6ae264b4c90feb86950b7ad3c",
      "d8dece86feda4f55a29db596904a388f",
      "0278f958762845ab8674e9650bed9493",
      "2a94174f8c9b4a0e8aed90d6f64e7875",
      "9923470f7646489eb3e3ee5a7bda7e19",
      "fa1147937d3d4b198ff72ce22d998dc3",
      "577bbc04868c4bd88eb2235ea3cb1204",
      "f3cc9d2465b54dc68f305e8f56e1c603",
      "6a7e604a1e914d8eb5e4125d260dc2b4",
      "7e415e3ef71c4b7eaa7d560bd502228f"
     ]
    },
    "id": "Z4SkdBwU3FgG",
    "outputId": "6c33c90f-47b1-4075-e0a3-9ad35104fbed",
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "creating base model...\n",
      "[-] Low Res Diff Transformer set with 1024+256*4 input tokens.\n",
      "creating upsample model...\n",
      "[-] High Res Diff Transformer set with 3072+256*4 input tokens.\n",
      "downloading base checkpoint...\n",
      "downloading upsampler checkpoint...\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_name = 'base300M' # base40M, use base300M or base1B for better results\n",
    "\n",
    "# Initializing multi-view POINT-E\n",
    "MODEL_CONFIGS[base_name][\"n_views\"] = num_views\n",
    "MODEL_CONFIGS['upsample'][\"n_views\"] = num_views\n",
    "\n",
    "print('creating base model...')\n",
    "base_model = model_from_config(MODEL_CONFIGS[base_name], device)\n",
    "base_model.eval()\n",
    "base_diffusion = diffusion_from_config(DIFFUSION_CONFIGS[base_name])\n",
    "\n",
    "print('creating upsample model...')\n",
    "upsampler_model = model_from_config(MODEL_CONFIGS['upsample'], device)\n",
    "upsampler_model.eval()\n",
    "upsampler_diffusion = diffusion_from_config(DIFFUSION_CONFIGS['upsample'])\n",
    "\n",
    "print('downloading base checkpoint...')\n",
    "base_model.load_state_dict(load_checkpoint(base_name, device))\n",
    "\n",
    "print('downloading upsampler checkpoint...')\n",
    "upsampler_model.load_state_dict(load_checkpoint('upsample', device))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "ufao6vGK3Ha8",
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "sampler = PointCloudSampler(\n",
    "    device=device,\n",
    "    models=[base_model, upsampler_model],\n",
    "    diffusions=[base_diffusion, upsampler_diffusion],\n",
    "    num_points=[1024, 4096-1024], # points in cloud and missing ones for upsampling\n",
    "    aux_channels=['R', 'G', 'B'],\n",
    "    guidance_scale=[3.0, 3.0],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [],
   "source": [
    "# loading stored synth.views in a second run cuz my gpu died\n",
    "for idx in range(num_views):\n",
    "    generated_images.append(Image.open(\"{:04d}.png\".format(idx)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "background_save": true,
     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "d2950f7c183f45e4802fc709f8f1fab5",
      "57dc794a75dc4018ae4ef570939dd725",
      "1aeebfc1b8e24c7aaba38e4938600b92",
      "ede10d543da34e6681c36804e55fcce9",
      "0079008322cf439bae00557e85c9273a",
      "c932d2a36787423eae4d5406337b3d83",
      "d3ce752d4a0d411499d915421b5d7058",
      "12796f435e38418aa6c145d1da2a9af4",
      "38e9420375cf492fb8cfdbb0d39b7f98",
      "7eb5840908194b82be1e1f67fd0a6be7",
      "6197e1ce43c94a06a0ea396de931a267"
     ]
    },
    "id": "U2u6Rnqt3InA",
    "outputId": "34d519d5-a7cc-4c8a-873b-91e1c7adeb91",
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d8dbf76c1a95402a975ba2f82eb616bd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Produce a sample from the model.\n",
    "samples = None\n",
    "for x in tqdm(sampler.sample_batch_progressive(batch_size=1, model_kwargs=dict(images=generated_images))):\n",
    "    samples = x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "dXBZfb3b3Jhi",
    "outputId": "9a75eb06-44db-49be-cf2d-53c05fba30a3",
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 6, 4096])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "zr-RkhNh3Kdb",
    "outputId": "8f441c88-71d0-451c-bf14-3d3073309ad4",
    "vscode": {
     "languageId": "python"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pc = sampler.output_to_point_clouds(samples)[0]\n",
    "fig = plot_point_cloud(pc, grid_size=2, fixed_bounds=((-0.75, -0.75, -0.75),(0.75, 0.75, 0.75)))"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "provenance": []
  },
  "gpuClass": "standard",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "vscode": {
   "interpreter": {
    "hash": "0941cf4f774ac9b586d86f8e2e81def93d09ab8966f4984a612199cc3bd06e21"
   }
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