Changes in sound attributions

Just a small reference change

3d-generation-pipeline/.env.example

@@ -1,3 +0,0 @@
-CLOUDFLARE_ACCOUNT_ID=
-CLOUDFLARE_API_TOKEN=
-MODEL_FOLDER=

3d-generation-pipeline/.gitignore

@@ -1,4 +0,0 @@
-.venv
-.env
-images/
-models/

3d-generation-pipeline/README.md

@@ -1,2 +0,0 @@
-### TODO
-* Azure OpenAI API: https://wiki.ut.ee/spaces/AA/pages/218073589/Azure+OpenAI+API+teenus

3d-generation-pipeline/generate_image_local.py

@@ -1,28 +0,0 @@
-import torch
-from diffusers import StableDiffusionPipeline, StableDiffusion3Pipeline
-import time
-
-start_timestamp = time.time()
-#model = "stabilityai/stable-diffusion-3.5-medium" # generation time: 13 min
-model = "stabilityai/stable-diffusion-3-medium-diffusers" # generation time: 10 min
-#model = "stabilityai/stable-diffusion-2" # generation time: 4 sec
-
-pipe = StableDiffusion3Pipeline.from_pretrained(model, torch_dtype=torch.float16)
-#pipe = StableDiffusionPipeline.from_pretrained(model, torch_dtype=torch.float16)
-pipe = pipe.to("cuda")
-
-model_loaded_timestamp = time.time()
-model_load_time = model_loaded_timestamp - start_timestamp
-print(f"model load time: {round(model_load_time)} seconds")
-
-prompt = "A majestic broadsword with a golden pommel, no background"
-image = pipe(
-    prompt,
-    guidance_scale=3.0,
-).images[0]
-
-image_name = "image7.png"
-image.save(f"images/{image_name}")
-
-generation_time = time.time() - model_loaded_timestamp
-print(f"image generation time: {round(generation_time)} seconds")

3d-generation-pipeline/notebooks/cloudflare_API_test.ipynb

@@ -1,152 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1dc6faae",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "import base64\n",
-    "import requests\n",
-    "from dotenv import load_dotenv"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b3107275",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "load_dotenv()\n",
-    "\n",
-    "ACCOUNT_ID = os.environ[\"CLOUDFLARE_ACCOUNT_ID\"]\n",
-    "API_TOKEN = os.environ[\"CLOUDFLARE_API_TOKEN\"]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "999adf95",
-   "metadata": {},
-   "source": [
-    "## Text to image"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "40b35163",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Saved: output.jpg  (263282 bytes)\n",
-      "Saved: image9.jpg  (263282 bytes)\n"
-     ]
-    }
-   ],
-   "source": [
-    "MODEL = \"@cf/black-forest-labs/flux-1-schnell\"\n",
-    "URL = f\"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/{MODEL}\"\n",
-    "\n",
-    "payload = {\n",
-    "    \"prompt\": \"a slightly curved broadsword with a fancy golden crossguard\",\n",
-    "}\n",
-    "\n",
-    "headers = {\n",
-    "    \"Authorization\": f\"Bearer {API_TOKEN}\",\n",
-    "    \"Content-Type\": \"application/json\",\n",
-    "}\n",
-    "\n",
-    "resp = requests.post(URL, json=payload, headers=headers, timeout=60)\n",
-    "resp.raise_for_status()\n",
-    "\n",
-    "data = resp.json()\n",
-    "b64 = data[\"result\"][\"image\"]\n",
-    "if not b64:\n",
-    "    raise RuntimeError(f\"Unexpected response structure: {data}\")\n",
-    "\n",
-    "img_bytes = base64.b64decode(b64)\n",
-    "\n",
-    "out_path = \"output.jpg\"\n",
-    "with open(out_path, \"wb\") as f:\n",
-    "    f.write(img_bytes)\n",
-    "\n",
-    "print(f\"Saved: {out_path}  ({len(img_bytes)} bytes)\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "14a874c4",
-   "metadata": {},
-   "source": [
-    "## Text prompt refinement"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "485f6f46",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\"dark wooden battleaxe with bronze blade\"\n"
-     ]
-    }
-   ],
-   "source": [
-    "MODEL = \"@cf/meta/llama-3.2-3b-instruct\"\n",
-    "URL = f\"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/{MODEL}\"\n",
-    "\n",
-    "instructions = \"\"\"\n",
-    "User is talking about some object. Your task is to generate a short and concise description of it. Use only user's own words, keep it as short as possible.\n",
-    "Example:\n",
-    "User: 'Umm, okay, I would like a really cool sword, with for example a bright orange crossguard. And also it should be slightly curved.'\n",
-    "You: 'a slightly curved sword with bright orange crossguard'\n",
-    "\"\"\"\n",
-    "prompt = \"Umm, alright, can you please give me an epic battleaxe? It should have a dark wooden shaft and bronze blade.\"\n",
-    "\n",
-    "response = requests.post(URL,\n",
-    "  headers={\"Authorization\": f\"Bearer {API_TOKEN}\"},\n",
-    "  json={\n",
-    "    \"messages\": [\n",
-    "      {\"role\": \"system\", \"content\": instructions},\n",
-    "      {\"role\": \"user\", \"content\": prompt}\n",
-    "    ]\n",
-    "  }\n",
-    ")\n",
-    "data = response.json()\n",
-    "result_text = data[\"result\"][\"response\"]\n",
-    "print(result_text)"
-   ]
-  }
- ],
- "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": "3.10.0"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

3d-generation-pipeline/notebooks/local_model_test.ipynb

@@ -1,105 +0,0 @@
-{
- "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
-}

3d-generation-pipeline/notebooks/subprocess_test.ipynb

@@ -1,165 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "4826c91d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'2025-10-18-16-35-47'"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from datetime import datetime\n",
-    "\n",
-    "datetime.now().strftime(\"%Y-%m-%d-%H-%M-%S\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "9419e692",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "STDOUT:\n",
-      " Device used:  cuda\n",
-      "After Remesh 9998 19996\n",
-      "\n",
-      "STDERR:\n",
-      " D:\\users\\henrisel\\stable-fast-3d\\.venv\\lib\\site-packages\\timm\\models\\layers\\__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers\n",
-      "  warnings.warn(f\"Importing from {__name__} is deprecated, please import via timm.layers\", FutureWarning)\n",
-      "\n",
-      "  0%|          | 0/1 [00:00<?, ?it/s]\n",
-      "  0%|          | 0/1 [00:00<?, ?it/s]\n",
-      "Traceback (most recent call last):\n",
-      "  File \"D:\\users\\henrisel\\stable-fast-3d\\run.py\", line 122, in <module>\n",
-      "    mesh, glob_dict = model.run_image(\n",
-      "  File \"D:\\users\\henrisel\\stable-fast-3d\\sf3d\\system.py\", line 286, in run_image\n",
-      "    meshes, global_dict = self.generate_mesh(\n",
-      "  File \"D:\\users\\henrisel\\stable-fast-3d\\sf3d\\system.py\", line 369, in generate_mesh\n",
-      "    rast = self.baker.rasterize(\n",
-      "  File \"D:\\users\\henrisel\\stable-fast-3d\\.venv\\lib\\site-packages\\texture_baker\\baker.py\", line 28, in rasterize\n",
-      "    return torch.ops.texture_baker_cpp.rasterize(\n",
-      "  File \"D:\\users\\henrisel\\stable-fast-3d\\.venv\\lib\\site-packages\\torch\\_ops.py\", line 1243, in __call__\n",
-      "    return self._op(*args, **kwargs)\n",
-      "NotImplementedError: Could not run 'texture_baker_cpp::rasterize' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'texture_baker_cpp::rasterize' is only available for these backends: [CPU, Meta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradXLA, AutogradMPS, AutogradXPU, AutogradHPU, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradMeta, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].\n",
-      "\n",
-      "CPU: registered at texture_baker\\csrc\\baker.cpp:543 [kernel]\n",
-      "Meta: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\MetaFallbackKernel.cpp:23 [backend fallback]\n",
-      "BackendSelect: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\BackendSelectFallbackKernel.cpp:3 [backend fallback]\n",
-      "Python: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\PythonFallbackKernel.cpp:194 [backend fallback]\n",
-      "FuncTorchDynamicLayerBackMode: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\functorch\\DynamicLayer.cpp:479 [backend fallback]\n",
-      "Functionalize: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\FunctionalizeFallbackKernel.cpp:375 [backend fallback]\n",
-      "Named: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\NamedRegistrations.cpp:7 [backend fallback]\n",
-      "Conjugate: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\ConjugateFallback.cpp:17 [backend fallback]\n",
-      "Negative: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\native\\NegateFallback.cpp:18 [backend fallback]\n",
-      "ZeroTensor: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\ZeroTensorFallback.cpp:86 [backend fallback]\n",
-      "ADInplaceOrView: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:104 [backend fallback]\n",
-      "AutogradOther: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:63 [backend fallback]\n",
-      "AutogradCPU: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:67 [backend fallback]\n",
-      "AutogradCUDA: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:75 [backend fallback]\n",
-      "AutogradXLA: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:87 [backend fallback]\n",
-      "AutogradMPS: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:95 [backend fallback]\n",
-      "AutogradXPU: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:71 [backend fallback]\n",
-      "AutogradHPU: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:108 [backend fallback]\n",
-      "AutogradLazy: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:91 [backend fallback]\n",
-      "AutogradMTIA: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:79 [backend fallback]\n",
-      "AutogradMAIA: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:83 [backend fallback]\n",
-      "AutogradMeta: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\VariableFallbackKernel.cpp:99 [backend fallback]\n",
-      "Tracer: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\torch\\csrc\\autograd\\TraceTypeManual.cpp:294 [backend fallback]\n",
-      "AutocastCPU: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\autocast_mode.cpp:322 [backend fallback]\n",
-      "AutocastMTIA: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\autocast_mode.cpp:466 [backend fallback]\n",
-      "AutocastMAIA: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\autocast_mode.cpp:504 [backend fallback]\n",
-      "AutocastXPU: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\autocast_mode.cpp:542 [backend fallback]\n",
-      "AutocastMPS: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\autocast_mode.cpp:209 [backend fallback]\n",
-      "AutocastCUDA: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\autocast_mode.cpp:165 [backend fallback]\n",
-      "FuncTorchBatched: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\functorch\\LegacyBatchingRegistrations.cpp:731 [backend fallback]\n",
-      "BatchedNestedTensor: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\functorch\\LegacyBatchingRegistrations.cpp:758 [backend fallback]\n",
-      "FuncTorchVmapMode: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\functorch\\VmapModeRegistrations.cpp:27 [backend fallback]\n",
-      "Batched: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\LegacyBatchingRegistrations.cpp:1075 [backend fallback]\n",
-      "VmapMode: fallthrough registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\VmapModeRegistrations.cpp:33 [backend fallback]\n",
-      "FuncTorchGradWrapper: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\functorch\\TensorWrapper.cpp:210 [backend fallback]\n",
-      "PythonTLSSnapshot: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\PythonFallbackKernel.cpp:202 [backend fallback]\n",
-      "FuncTorchDynamicLayerFrontMode: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\functorch\\DynamicLayer.cpp:475 [backend fallback]\n",
-      "PreDispatch: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\PythonFallbackKernel.cpp:206 [backend fallback]\n",
-      "PythonDispatcher: registered at C:\\actions-runner\\_work\\pytorch\\pytorch\\pytorch\\aten\\src\\ATen\\core\\PythonFallbackKernel.cpp:198 [backend fallback]\n",
-      "\n",
-      "\n",
-      "Return Code: 1\n"
-     ]
-    }
-   ],
-   "source": [
-    "import subprocess\n",
-    "\n",
-    "MODEL_FOLDER = r\"D:\\users\\henrisel\\stable-fast-3d\"\n",
-    "PROJECT_FOLDER = r\"D:\\users\\henrisel\\DeltaVR3DModelGeneration\\3d-generation-pipeline\"\n",
-    "\n",
-    "# Path to the Python interpreter in the other virtual environment\n",
-    "venv_python = MODEL_FOLDER + r\"\\.venv\\Scripts\\python.exe\"\n",
-    "\n",
-    "# Path to the .py file you want to run\n",
-    "script_path = MODEL_FOLDER + r\"\\run.py\"\n",
-    "\n",
-    "# Optional: arguments to pass to the script\n",
-    "args = [MODEL_FOLDER + r\"\\demo_files\\examples\\chair1.png\", \"--output-dir\", PROJECT_FOLDER + r\"\\images\"]\n",
-    "\n",
-    "# Build the command\n",
-    "command = [venv_python, script_path] + args\n",
-    "\n",
-    "try:\n",
-    "    # Run the subprocess\n",
-    "    result = subprocess.run(command, capture_output=True, text=True)\n",
-    "\n",
-    "    # Print output and errors\n",
-    "    print(\"STDOUT:\\n\", result.stdout)\n",
-    "    print(\"STDERR:\\n\", result.stderr)\n",
-    "    print(\"Return Code:\", result.returncode)\n",
-    "\n",
-    "except Exception as e:\n",
-    "    print(f\"Error occurred: {e}\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ee480ba6",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.10.0"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

3d-generation-pipeline/requirements.txt

@@ -1,7 +0,0 @@
-#torch==2.8.0+cu129 https://pytorch.org/get-started/previous-versions/
-transformers==4.57.0
-git+https://github.com/huggingface/diffusers.git
-accelerate==1.10.1
-huggingface_hub[hf_xet]==1.1.10
-sentencepiece==0.2.1
-protobuf==6.32.1

3d-generation-pipeline/start_pipeline.py

@@ -1,109 +0,0 @@
-import os
-import base64
-import requests
-import argparse
-import subprocess
-from pathlib import Path
-from datetime import datetime
-from dotenv import load_dotenv
-
-load_dotenv()
-
-ACCOUNT_ID = os.environ["CLOUDFLARE_ACCOUNT_ID"]
-API_TOKEN = os.environ["CLOUDFLARE_API_TOKEN"]
-MODEL_FOLDER = os.environ["MODEL_FOLDER"]
-
-
-def get_timestamp():
-    return datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
-
-
-def text_to_image(prompt, output_path):
-    MODEL = "@cf/black-forest-labs/flux-1-schnell"
-    URL = f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/{MODEL}"
-
-    payload = {
-        "prompt": prompt,
-    }
-
-    headers = {
-        "Authorization": f"Bearer {API_TOKEN}",
-        "Content-Type": "application/json",
-    }
-
-    resp = requests.post(URL, json=payload, headers=headers, timeout=60)
-    resp.raise_for_status()
-
-    data = resp.json()
-    b64 = data["result"]["image"]
-    if not b64:
-        raise RuntimeError(f"Unexpected response structure: {data}")
-
-    img_bytes = base64.b64decode(b64)
-
-    with open(output_path, "wb") as f:
-        f.write(img_bytes)
-
-
-def refine_text_prompt(prompt):
-    MODEL = "@cf/meta/llama-3.2-3b-instruct"
-    URL = f"https://api.cloudflare.com/client/v4/accounts/{ACCOUNT_ID}/ai/run/{MODEL}"
-
-    instructions = """
-    User is talking about some object. Your task is to generate a short and concise description of it. Use only user's own words, keep it as short as possible.
-    Example:
-    User: 'Umm, okay, I would like a really cool sword, with for example a bright orange crossguard. And also it should be slightly curved.'
-    You: 'a slightly curved sword with bright orange crossguard'
-    """
-
-    response = requests.post(URL,
-    headers={"Authorization": f"Bearer {API_TOKEN}"},
-    json={
-        "messages": [
-        {"role": "system", "content": instructions},
-        {"role": "user", "content": prompt}
-        ]
-    }
-    )
-    data = response.json()
-    return data["result"]["response"]
-
-def image_to_3d(image_path, output_path):
-    venv_python = MODEL_FOLDER + r"\.venv\Scripts\python.exe"
-    script_path = MODEL_FOLDER + r"\run.py"
-
-    args = [image_path, "--output-dir", output_path]
-    command = [venv_python, script_path] + args
-
-    try:
-        # Run the subprocess
-        result = subprocess.run(command, capture_output=True, text=True)
-
-        # Print output and errors
-        print("STDOUT:\n", result.stdout)
-        print("STDERR:\n", result.stderr)
-        print("Return Code:", result.returncode)
-
-    except Exception as e:
-        print(f"Error occurred: {e}")
-
-def main():
-    parser = argparse.ArgumentParser(description="Text to 3D model pipeline")
-    parser.add_argument("--prompt", type=str, required=True, help="User text prompt")
-    args = parser.parse_args()
-
-    user_prompt = args.prompt
-    print(f"User prompt: {user_prompt}")
-    refined_prompt = refine_text_prompt(user_prompt)
-    print(f"Refined prompt: {refined_prompt}")
-    timestamp = get_timestamp()
-    image_path = Path.cwd() / "images" / f"{timestamp}.jpg"
-    text_to_image(refined_prompt, image_path)
-    print(f"Generated image file: {image_path}")
-    model_path = Path.cwd() / "models" / timestamp
-    image_to_3d(image_path, model_path)
-    print(f"Generated 3D model file: {model_path}")
-
-
-if __name__ == "__main__":
-    main()

README.md

@@ -66,23 +66,17 @@ Multiplayer and cross-play functionality. [Bachelor's Thesis](https://comserv.cs
 **Raimond Tunnel**<br/>
 Project management, visual design.
 
+**Timur Nizamov**<br/>
+Technical sound design.
+
 Developed in the [Computer Graphcis and Virtual Reality Study Lab](https://cgvr.cs.ut.ee/) of the [Institute of Computer Science, University of Tartu](https://cs.ut.ee).
 
 ### Used Attributions
 
 | Description                                         | License                                      | Source                                                                                      | Author           |
 |-----------------------------------------------------|----------------------------------------------|---------------------------------------------------------------------------------------------|------------------|
-| Bold's car driving sound                            | Attribution NonCommercial 3.0                | [Link](https://freesound.org/people/Pfujimoto/sounds/14371/)                               | Pfujimoto        |
-| Bold's car braking sound                            | Attribution 3.0                              | [Link](https://freesound.org/people/200154michaela/sounds/542448/)                         | 200154michaela   |
-| Bold's car horn sound                               | Attribution 4.0                              | [Link](https://freesound.org/people/ceberation/sounds/235506/)                             | ceberation       |
 | Server rack model                                   | Royalty Free, No AI License                  | [Link](https://www.cgtrader.com/free-3d-models/electronics/computer/simple-server-model)   | anymelok         |
-| Server rack humming sound                           | Attribution 4.0                              | [Link](https://freesound.org/people/jameswrowles/sounds/248217/)                           | jameswrowles     |
-| Fire suppression button press sound                 | Creative Commons 0                           | [Link](https://freesound.org/people/LamaMakesMusic/sounds/403556/)                         | LamaMakesMusic   |
-| Fire suppression alarm sound                        | Attribution 3.0                              | [Link](https://freesound.org/people/jobro/sounds/33737/)                                   | jobro            |
-| Fire-suppressing gas release sound                  | Creative Commons 0                           | [Link](https://freesound.org/people/mrmccormack/sounds/182359/)                            | mrmccormack      |
-| Coughing sound in response to fire-suppressing gas  | Attribution 4.0                              | [Link](https://freesound.org/people/qubodup/sounds/739416/)                                | qubodup          |
 | Robot movement sound                                | Creative Commons 0                           | [Link](https://freesound.org/people/Brazilio123/sounds/661435/)                            | Brazilio123      |
-| Portal humming sound                                | Attribution 4.0                              | [Link](https://freesound.org/people/zimbot/sounds/122972/)                                 | zimbot           |
 | Spacewalk UFO sound                                 | Attribution NonCommercial 4.0                           | [Link](https://freesound.org/people/Speedenza/sounds/209366/)                           | Speedenza     |
 | Keyboard icons                                      | Creative Commons Attribution-NoDerivs 3.0    | [Link](https://icons8.com/)                                                                 | icons8           |