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local TRELLIS API test notebook

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henrisel 2025-11-07 14:54:41 +02:00
parent d43408cf01
commit 447449e1b3
3 changed files with 176 additions and 106 deletions
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2
3d-generation-pipeline/notebooks/cloudflare_API_test.ipynb
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@ -144,7 +144,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.0"
"version": "3.10.11"
}
},
"nbformat": 4,

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3d-generation-pipeline/notebooks/local_model_generation_test.ipynb Normal file
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3d-generation-pipeline/notebooks/local_model_test.ipynb
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{
"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
}