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update main README

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henrisel
2026-05-13 13:40:05 +03:00
parent bd5cc0f405
commit 7c67a4b44b
3 changed files with 60 additions and 76 deletions
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3d-generation-pipeline/README.md
-1
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@@ -13,7 +13,6 @@
* prinditud objekti scale'imisele min ja max size limiit
* 3d printerile soft particle'id, et ei oleks teravaid ääri seina sisse minnes
* archery range:
* archery targetite rework, et buildis ka töötaks
* võiks jääda kordama viimast instruktsiooni, kui mängija ei progressi edasi
* UFO möödalendamise animation/cutscene alguses kui ütleb "delta attacked by ufos" + panna juba alguses kapsli sisse ufo pöörlema
* cafe:
3d-generation-pipeline/notebooks/local_model_generation_test.ipynb
+22 -23
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@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 4,
"id": "77b23cd8",
"metadata": {},
"outputs": [],
@@ -22,29 +22,16 @@
"# API endpoint\n",
"BASE_URL = \"http://127.0.0.1:7960\"\n",
"\n",
"def generate_no_preview(image_base64: str):\n",
"def generate_no_preview(data: dict):\n",
" \"\"\"Generate 3D model from a single base64-encoded image without previews.\n",
" \n",
" Args:\n",
" image_base64: Base64 string of the image (without 'data:image/...' prefix)\n",
" \"\"\"\n",
" try:\n",
" # Set generation parameters\n",
" params = {\n",
" 'image_base64': image_base64,\n",
" 'seed': 42,\n",
" 'ss_guidance_strength': 7.5,\n",
" 'ss_sampling_steps': 30,\n",
" 'slat_guidance_strength': 7.5,\n",
" 'slat_sampling_steps': 30,\n",
" 'mesh_simplify_ratio': 0.95,\n",
" 'texture_size': 1024,\n",
" 'output_format': 'glb'\n",
" }\n",
" \n",
" # Start generation\n",
" print(\"Starting generation...\")\n",
" response = requests.post(f\"{BASE_URL}/generate_no_preview\", data=params)\n",
" response = requests.post(f\"{BASE_URL}/generate_no_preview\", data)\n",
" print(\"Response status:\", response.status_code)\n",
" response.raise_for_status()\n",
" \n",
@@ -75,7 +62,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 11,
"id": "eb122295",
"metadata": {},
"outputs": [],
@@ -85,7 +72,19 @@
" image_data = image_file.read()\n",
"\n",
" base64_encoded = base64.b64encode(image_data).decode('utf-8')\n",
" model = generate_no_preview(base64_encoded)\n",
" # Set generation parameters\n",
" data = {\n",
" 'image_base64': base64_encoded,\n",
" 'seed': 42,\n",
" 'ss_guidance_strength': 8,\n",
" 'ss_sampling_steps': 10,\n",
" 'slat_guidance_strength': 6,\n",
" 'slat_sampling_steps': 10,\n",
" 'mesh_simplify_ratio': 0.9958,\n",
" 'texture_size': 1024,\n",
" 'output_format': 'glb'\n",
" }\n",
" model = generate_no_preview(data)\n",
" \n",
" with open(output_path, 'wb') as f:\n",
" f.write(model)\n",
@@ -94,7 +93,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 12,
"id": "2ce7dfdf",
"metadata": {},
"outputs": [
@@ -107,14 +106,14 @@
"Progress: 100%\n",
"Downloading model...\n",
"Model downloaded.\n",
"Model saved to test_resources/style_test_3_model.glb\n"
"Model saved to test_resources/mesh_simplify_ratio_0.998.glb\n"
]
}
],
"source": [
"\n",
"image_path = 'test_resources/style_test_3.jpg'\n",
"output_path = \"test_resources/style_test_3_model.glb\"\n",
"image_path = 'test_resources/512x512.png'\n",
"output_path = \"test_resources/mesh_simplify_ratio_0.998.glb\"\n",
"\n",
"generate_model(image_path, output_path)"
]
@@ -130,7 +129,7 @@
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"display_name": ".venv (3.10.11)",
"language": "python",
"name": "python3"
},