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  1. app.py +8 -15
  2. vidgen2.ipynb +268 -0
app.py CHANGED
@@ -2,14 +2,12 @@ import gradio as gr
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  import numpy as np
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  import random
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  import torch
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- # spaces import REMOVED — ZeroGPU is HuggingFace-only infrastructure, not needed locally
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-
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8
  import gc
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10
  from safetensors.torch import load_file
11
- # hf_hub_download import REMOVED — replaced with local path constants below
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-
13
 
14
  from PIL import Image
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  from diffusers import FlowMatchEulerDiscreteScheduler, QwenImageEditPlusPipeline, EulerAncestralDiscreteScheduler, FlowMatchEulerDiscreteScheduler
@@ -111,12 +109,13 @@ def setup_intelligent_memory_pipeline(pipe, apply_quantization=True):
111
  print(f"Base model size: ~55GB unquantized, ~20GB with quantization")
112
 
113
  # Apply quantization to reduce memory footprint (only if requested)
 
114
  if apply_quantization:
115
- print("Applying quantization on CPU...")
116
  if hasattr(pipe, 'text_encoder') and pipe.text_encoder is not None:
117
  quantize_(pipe.text_encoder, Int8WeightOnlyConfig())
118
  if hasattr(pipe, 'transformer') and pipe.transformer is not None:
119
- quantize_(pipe.transformer, Float8DynamicActivationFloat8WeightConfig())
120
 
121
  # Enable VAE optimizations for all GPUs
122
  print("Enabling VAE slicing and tiling...")
@@ -282,9 +281,9 @@ del text_encoder_weights
282
  gc.collect()
283
  torch.cuda.empty_cache()
284
 
285
- # NOW apply memory management WITHOUT quantization (causes CUDA errors)
286
  print("Applying memory optimizations after weight injection...")
287
- pipe = setup_intelligent_memory_pipeline(pipe, apply_quantization=False)
288
 
289
 
290
  #################################
@@ -338,13 +337,7 @@ def add_starter_image(starter_num, current_images):
338
  return list(current_images) + [img]
339
 
340
  # --- Main Inference Function (with hardcoded negative prompt) ---
341
- # ---------------------------------------------------------------------------
342
- # CHANGE 4 of 4: @spaces.GPU() decorator REMOVED
343
- # That decorator allocates a GPU from HuggingFace's shared ZeroGPU pool.
344
- # On a local VPS the GPU is always available — the decorator is not needed
345
- # and would crash without the `spaces` library installed.
346
- # The entire function body below is 100% identical to the original.
347
- # ---------------------------------------------------------------------------
348
  def infer(
349
  images,
350
  prompt,
 
2
  import numpy as np
3
  import random
4
  import torch
5
+ import spaces
 
6
 
7
  import gc
8
 
9
  from safetensors.torch import load_file
10
+ from huggingface_hub import hf_hub_download
 
11
 
12
  from PIL import Image
13
  from diffusers import FlowMatchEulerDiscreteScheduler, QwenImageEditPlusPipeline, EulerAncestralDiscreteScheduler, FlowMatchEulerDiscreteScheduler
 
109
  print(f"Base model size: ~55GB unquantized, ~20GB with quantization")
110
 
111
  # Apply quantization to reduce memory footprint (only if requested)
112
+ # ZeroGPU has limited VRAM - use Int8 only to avoid NVRTC issues
113
  if apply_quantization:
114
+ print("Applying Int8 quantization for ZeroGPU...")
115
  if hasattr(pipe, 'text_encoder') and pipe.text_encoder is not None:
116
  quantize_(pipe.text_encoder, Int8WeightOnlyConfig())
117
  if hasattr(pipe, 'transformer') and pipe.transformer is not None:
118
+ quantize_(pipe.transformer, Int8WeightOnlyConfig())
119
 
120
  # Enable VAE optimizations for all GPUs
121
  print("Enabling VAE slicing and tiling...")
 
281
  gc.collect()
282
  torch.cuda.empty_cache()
283
 
284
+ # NOW apply quantization and memory management after weights are loaded
285
  print("Applying memory optimizations after weight injection...")
286
+ pipe = setup_intelligent_memory_pipeline(pipe, apply_quantization=True)
287
 
288
 
289
  #################################
 
337
  return list(current_images) + [img]
338
 
339
  # --- Main Inference Function (with hardcoded negative prompt) ---
340
+ @spaces.GPU
 
 
 
 
 
 
341
  def infer(
342
  images,
343
  prompt,
vidgen2.ipynb ADDED
@@ -0,0 +1,268 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "nbformat": 4,
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+ "nbformat_minor": 0,
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+ "metadata": {
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+ "colab": {
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+ "provenance": [],
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+ "gpuType": "V5E1",
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+ "authorship_tag": "ABX9TyMe2CIwXk5Anp+PP39l51xB",
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+ "include_colab_link": true
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+ },
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+ "kernelspec": {
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+ "name": "python3",
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+ "display_name": "Python 3"
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+ },
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+ "language_info": {
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+ "name": "python"
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+ },
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+ "accelerator": "TPU"
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+ },
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+ "cells": [
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {
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+ "id": "view-in-github",
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+ "colab_type": "text"
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+ },
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+ "source": [
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+ "<a href=\"https://colab.research.google.com/github/appsyouneed/picgen/blob/main/vidgen2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "metadata": {
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+ "colab": {
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+ "base_uri": "https://localhost:8080/"
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+ },
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+ "id": "od8_YFRjOUn7",
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+ "outputId": "3b377048-5407-4fa0-900a-1c53a26622c1"
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+ },
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
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+ "=== Wan 2.2 14B Colab TPU Setup ===\n",
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+ "Creating temp directory...\n",
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+ "Creating cache directory...\n",
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+ "Installing system dependencies...\n",
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+ "Hit:1 https://cli.github.com/packages stable InRelease\n",
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+ "Hit:2 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease\n",
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+ "Hit:3 http://archive.ubuntu.com/ubuntu jammy InRelease\n",
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+ "Hit:4 http://security.ubuntu.com/ubuntu jammy-security InRelease\n",
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+ "Hit:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease\n",
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+ "Hit:6 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n",
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+ "Hit:7 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n",
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+ "Hit:8 https://r2u.stat.illinois.edu/ubuntu jammy InRelease\n",
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+ "Hit:9 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n",
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+ "Reading package lists... Done\n",
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+ "W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://r2u.stat.illinois.edu/ubuntu jammy InRelease' does not seem to provide it (sources.list entry misspelt?)\n",
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+ "Reading package lists... Done\n",
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+ "Building dependency tree... Done\n",
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+ "Reading state information... Done\n",
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+ "git is already the newest version (1:2.34.1-1ubuntu1.17).\n",
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+ "unzip is already the newest version (6.0-26ubuntu3.2).\n",
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+ "wget is already the newest version (1.21.2-2ubuntu1.1).\n",
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+ "ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n",
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+ "0 upgraded, 0 newly installed, 0 to remove and 8 not upgraded.\n",
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+ "Installing Python dependencies for TPU...\n",
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+ "Collecting git+https://github.com/linoytsaban/diffusers.git@wan22-loras (from -r requirements.txt (line 8))\n",
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+ " Cloning https://github.com/linoytsaban/diffusers.git (to revision wan22-loras) to /tmp/pip-req-build-trdq6a2m\n",
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+ " Running command git clone --filter=blob:none --quiet https://github.com/linoytsaban/diffusers.git /tmp/pip-req-build-trdq6a2m\n",
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+ " Running command git checkout -b wan22-loras --track origin/wan22-loras\n",
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+ " Switched to a new branch 'wan22-loras'\n",
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+ " Branch 'wan22-loras' set up to track remote branch 'wan22-loras' from 'origin'.\n",
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+ " Resolved https://github.com/linoytsaban/diffusers.git to commit 5f42d2e4c064e087994c756239746ac32e920a28\n",
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+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
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+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
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+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
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+ "Collecting torch==2.8.0 (from -r requirements.txt (line 2))\n",
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+ " Downloading torch-2.8.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (30 kB)\n",
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+ "Collecting torch-xla==2.8.0 (from -r requirements.txt (line 3))\n",
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+ " Downloading torch_xla-2.8.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (16 kB)\n",
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+ "Requirement already satisfied: torchvision in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 4)) (0.25.0+cpu)\n",
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+ "Requirement already satisfied: torchao==0.11.0 in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 5)) (0.11.0)\n",
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+ "Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 22)) (2.0.2)\n",
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+ "Requirement already satisfied: gradio in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 25)) (5.50.0)\n",
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+ "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 26)) (0.36.2)\n",
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+ "Requirement already satisfied: ftfy in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 27)) (6.3.1)\n",
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+ "Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from torch==2.8.0->-r requirements.txt (line 2)) (3.25.2)\n",
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+ "Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from torch==2.8.0->-r requirements.txt (line 2)) (75.2.0)\n",
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+ "Requirement already satisfied: sympy>=1.13.3 in /usr/local/lib/python3.12/dist-packages (from torch==2.8.0->-r requirements.txt (line 2)) (1.14.0)\n",
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+ "Requirement already satisfied: networkx in /usr/local/lib/python3.12/dist-packages (from torch==2.8.0->-r requirements.txt (line 2)) (3.6.1)\n",
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+ "Requirement already satisfied: jinja2 in /usr/local/lib/python3.12/dist-packages (from torch==2.8.0->-r requirements.txt (line 2)) (3.1.6)\n",
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+ "Requirement already satisfied: fsspec in /usr/local/lib/python3.12/dist-packages (from torch==2.8.0->-r requirements.txt (line 2)) (2025.3.0)\n",
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+ "Collecting nvidia-cuda-nvrtc-cu12==12.8.93 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)\n",
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+ "Collecting nvidia-cuda-runtime-cu12==12.8.90 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)\n",
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+ "Collecting nvidia-cuda-cupti-cu12==12.8.90 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)\n",
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+ "Collecting nvidia-cudnn-cu12==9.10.2.21 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)\n",
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+ "Collecting nvidia-cublas-cu12==12.8.4.1 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)\n",
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+ "Collecting nvidia-cufft-cu12==11.3.3.83 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ "Collecting nvidia-curand-cu12==10.3.9.90 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ "Collecting nvidia-cusparse-cu12==12.5.8.93 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ "Collecting nvidia-cusparselt-cu12==0.7.1 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl.metadata (7.0 kB)\n",
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+ "Collecting nvidia-nccl-cu12==2.27.3 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ "Collecting nvidia-nvtx-cu12==12.8.90 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)\n",
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+ "Collecting nvidia-nvjitlink-cu12==12.8.93 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)\n",
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+ "Collecting nvidia-cufile-cu12==1.13.1.3 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)\n",
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+ "Collecting triton==3.4.0 (from torch==2.8.0->-r requirements.txt (line 2))\n",
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+ " Downloading triton-3.4.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.7 kB)\n",
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+ "Requirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.12/dist-packages (from torch-xla==2.8.0->-r requirements.txt (line 3)) (1.4.0)\n",
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+ "Requirement already satisfied: pyyaml in /usr/local/lib/python3.12/dist-packages (from torch-xla==2.8.0->-r requirements.txt (line 3)) (6.0.3)\n",
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+ "Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from torch-xla==2.8.0->-r requirements.txt (line 3)) (2.32.4)\n",
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+ "INFO: pip is looking at multiple versions of torchvision to determine which version is compatible with other requirements. This could take a while.\n",
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+ "Collecting torchvision (from -r requirements.txt (line 4))\n",
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+ " Downloading torchvision-0.26.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (5.5 kB)\n",
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+ " Downloading torchvision-0.23.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (6.1 kB)\n",
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+ "Requirement already satisfied: importlib_metadata in /usr/local/lib/python3.12/dist-packages (from diffusers==0.35.0.dev0->-r requirements.txt (line 8)) (8.7.1)\n",
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+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.12/dist-packages (from diffusers==0.35.0.dev0->-r requirements.txt (line 8)) (2025.11.3)\n",
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+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from transformers<5->-r requirements.txt (line 11)) (26.0)\n",
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+ "\u001b[?25hDownloading triton-3.4.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (155.6 MB)\n",
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+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m155.6/155.6 MB\u001b[0m \u001b[31m9.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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+ "\u001b[?25hInstalling collected packages: nvidia-cusparselt-cu12, triton, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, torch-xla, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch, torchvision\n",
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+ " Attempting uninstall: nvidia-nccl-cu12\n",
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+ " Found existing installation: nvidia-nccl-cu12 2.29.7\n",
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+ " Uninstalling nvidia-nccl-cu12-2.29.7:\n",
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+ " Successfully uninstalled nvidia-nccl-cu12-2.29.7\n",
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+ " Attempting uninstall: torch-xla\n",
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+ " Found existing installation: torch-xla 2.9.0\n",
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+ " Uninstalling torch-xla-2.9.0:\n",
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+ " Successfully uninstalled torch-xla-2.9.0\n",
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+ " Attempting uninstall: torch\n",
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+ " Found existing installation: torch 2.10.0+cpu\n",
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+ " Uninstalling torch-2.10.0+cpu:\n",
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+ " Successfully uninstalled torch-2.10.0+cpu\n",
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+ " Attempting uninstall: torchvision\n",
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+ " Found existing installation: torchvision 0.25.0+cpu\n",
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+ " Uninstalling torchvision-0.25.0+cpu:\n",
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+ " Successfully uninstalled torchvision-0.25.0+cpu\n",
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+ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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+ "torchaudio 2.10.0+cpu requires torch==2.10.0, but you have torch 2.8.0 which is incompatible.\u001b[0m\u001b[31m\n",
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+ "\u001b[0mSuccessfully installed nvidia-cublas-cu12-12.8.4.1 nvidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.3 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvtx-cu12-12.8.90 torch-2.8.0 torch-xla-2.8.0 torchvision-0.23.0 triton-3.4.0\n",
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+ "Setting up RIFE interpolation model...\n",
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+ "RIFE model already installed, skipping...\n",
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+ "=== Setup Complete ===\n",
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+ "\n",
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+ "To run: python app.py\n",
259
+ "The app will be accessible via Colab's public URL\n"
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+ ]
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+ }
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+ ],
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+ "source": [
264
+ "!bash setup.sh"
265
+ ]
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+ }
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+ ]
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+ }