Delete story.ipynb

story.ipynb

@@ -1,270 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "1d67fde4",
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Defaulting to user installation because normal site-packages is not writeable\n",
-      "Requirement already satisfied: opencv-python in c:\\users\\msi\\appdata\\roaming\\python\\python39\\site-packages (4.10.0.84)\n",
-      "Requirement already satisfied: transformers in c:\\users\\msi\\appdata\\roaming\\python\\python39\\site-packages (4.44.0)\n",
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-      "Requirement already satisfied: accelerate in c:\\users\\msi\\appdata\\roaming\\python\\python39\\site-packages (0.33.0)\n",
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-      "Requirement already satisfied: torchvision in c:\\users\\msi\\appdata\\roaming\\python\\python39\\site-packages (0.19.0+cu124)\n",
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-      "Requirement already satisfied: pillow in c:\\programdata\\anaconda3\\lib\\site-packages (9.0.1)\n",
-      "Collecting pillow\n",
-      "  Downloading pillow-10.4.0-cp39-cp39-win_amd64.whl (2.6 MB)\n",
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-      "Requirement already satisfied: click>=8.0.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from typer<1.0,>=0.12->gradio) (8.0.4)Note: you may need to restart the kernel to use updated packages.\n",
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-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in c:\\users\\msi\\appdata\\roaming\\python\\python39\\site-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (2.18.0)\n",
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-      "Requirement already satisfied: starlette<0.38.0,>=0.37.2 in c:\\users\\msi\\appdata\\roaming\\python\\python39\\site-packages (from fastapi->gradio) (0.37.2)\n",
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-      "Requirement already satisfied: mpmath>=0.19 in c:\\programdata\\anaconda3\\lib\\site-packages (from sympy->torch) (1.2.1)\n",
-      "Installing collected packages: pillow\n",
-      "Successfully installed pillow-10.4.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "pip install --upgrade opencv-python transformers diffusers torch accelerate sentencepiece torch torchvision torchaudio peft pillow gradio"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "660228aa",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "df0bcf152c6748d9ae56e7c669d55ce8",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading pipeline components...:   0%|          | 0/6 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\MSI\\AppData\\Roaming\\Python\\Python39\\site-packages\\transformers\\models\\clip\\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Running on local URL:  http://127.0.0.1:7869\n",
-      "\n",
-      "To create a public link, set `share=True` in `launch()`.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7869/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": []
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c88ef78e3fa84b969c50f0b18ca37be3",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
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-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import torch\n",
-    "from diffusers import AnimateDiffPipeline, LCMScheduler, MotionAdapter\n",
-    "from diffusers.utils import export_to_gif\n",
-    "import os\n",
-    "import gc\n",
-    "import gradio as gr\n",
-    "\n",
-    "# Environment setup\n",
-    "os.environ['PYTORCH_CUDA_ALLOC_CONF'] = 'expandable_segments:True'\n",
-    "gc.collect()\n",
-    "torch.cuda.empty_cache()\n",
-    "gc.collect()\n",
-    "torch.cuda.empty_cache()\n",
-    "\n",
-    "# Load models and pipeline\n",
-    "adapter = MotionAdapter.from_pretrained(\"wangfuyun/AnimateLCM\", torch_dtype=torch.float16)\n",
-    "pipe = AnimateDiffPipeline.from_pretrained(\"emilianJR/epiCRealism\", motion_adapter=adapter, torch_dtype=torch.float16)\n",
-    "pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config, beta_schedule=\"linear\")\n",
-    "pipe.load_lora_weights(\"wangfuyun/AnimateLCM\", weight_name=\"AnimateLCM_sd15_t2v_lora.safetensors\", adapter_name=\"lcm-lora\")\n",
-    "pipe.set_adapters([\"lcm-lora\"], [0.8])\n",
-    "pipe.enable_vae_slicing()\n",
-    "pipe.enable_model_cpu_offload()\n",
-    "\n",
-    "# Hardcoded predefined prompts\n",
-    "predefined_prompts = [\n",
-    "    \"640*480 pixels, high resolution, ultra realistic\",\n",
-    "    \"bad quality, worse quality, low resolution\"\n",
-    "]\n",
-    "\n",
-    "def generate_gif(custom_prompt):\n",
-    "    # Combine the predefined prompts with the custom prompt\n",
-    "    prompt = custom_prompt + \", \" + predefined_prompts[0]\n",
-    "    negative_prompt = predefined_prompts[1]\n",
-    "    \n",
-    "    output = pipe(\n",
-    "        prompt=prompt,\n",
-    "        negative_prompt=negative_prompt,\n",
-    "        num_frames=32,\n",
-    "        guidance_scale=2.0,\n",
-    "        num_inference_steps=6,\n",
-    "        generator=torch.Generator(\"cuda\").manual_seed(0),\n",
-    "    )\n",
-    "    frames = output.frames[0]\n",
-    "    export_to_gif(frames, \"animatelcm.gif\")\n",
-    "    return \"animatelcm.gif\"\n",
-    "\n",
-    "# Create Gradio interface\n",
-    "with gr.Blocks() as demo:\n",
-    "    gr.Markdown(\"## Animate LCM GIF Generator\")\n",
-    "    custom_prompt_input = gr.Textbox(label=\"Custom Prompt\", placeholder=\"Enter your custom prompt here...\")\n",
-    "    output_gif = gr.Image(label=\"Generated GIF\")\n",
-    "    generate_button = gr.Button(\"Generate GIF\")\n",
-    "    \n",
-    "    generate_button.click(fn=generate_gif, inputs=custom_prompt_input, outputs=output_gif)\n",
-    "\n",
-    "# Launch the interface\n",
-    "demo.launch()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5d4339ee",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.9.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}