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TRELLIS 1-Click Installers for Windows, RunPod, Massed Compute, Torch 2.13 and CUDA 13, Image to 3D, Multi-Image Input Support (Patreon)

Published:
2026-07-30 00:11:00
Edited:
2026-07-30 00:53:50
Imported:

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1-Click Windows, RunPod, Massed Compute, SimplePod installers for TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation with pre-compiled wheels for Torch 2.13 and CUDA 13, with low VRAM presets

Patreon exclusive posts index to find our scripts easily, Patreon scripts updates history to see which updates arrived to which scripts and amazing Patreon special generative scripts list that you can use in any of your task.

Join discord to get help, chat, discuss and also tell me your discord username to get your special rank : SECourses Discord

Please also Star, Watch and Fork our Stable Diffusion & Generative AI  GitHub repository and join our Reddit subreddit and follow me on LinkedIn (my real profile)

=======

Latest zip file : trellis_v10.zip

[click here to choose a membership and Join to download zip files]

Video tutorial : https://youtu.be/EhU7Jil9WAk

We have TRELLIS 2 app too but since someone requested I updated this amazing app

TRELLIS 2 : https://www.patreon.com/SECourses/posts/trellis-2-app-1-147686623

30 July 2026 V10 Update

We have completey remade the app and read below to understand how it works and full features

Make a fresh install and read the below carefully please

We use latest pre-compiled wheels and Torch 2.13 and CUDA 13

Windows Requirements

Python 3.12.10, FFmpeg, CUDA 13, cuDNN 9.17 or above, Visual Studio Community Edition with all C++ options selected

Don't worry CUDA 13 works with all GPUs - make sure you have updated NVIDIA driver

Follow this requirements tutorial video exactly : https://youtu.be/DrhUHnYfwC0

Follow its updated post with links and screenshots exactly : https://www.patreon.com/SECourses/posts/requirements-written-tutorial-111553210

RunPod, SimplePod, Massed Compute and Linux Users

RunPod and SimplePod please follow : RunPod_SimplePod_Instructions_READ.txt

https://get.runpod.io/955rkuppqv4h

https://simplepod.ai/ref?user=secourses

Massed Compute and Local Linux please follow : Massed_Compute_Instructions_READ.txt

https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute

TRELLIS 1 FEATURES

1-Click installers with following pre-compiled wheels for both Windows and Linux

Modern Torch 2.13 and CUDA 13 installation with Python 3.12 VENV

Latest version modern looking Gradio 6.20.0 interface

Fully working fully optimized very best configuration set TRELLIS 1 app

Click to see full size screenshot and all features below

Supporting multiple image input for better quality generation see below image

Fully supported batch folder processing

Fully supported preset system

TRELLIS V10 Image-to-3D AI Generator – Complete Features

SECourses TRELLIS Studio V10 is a one-click implementation of TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation for Windows, RunPod, SimplePod, Massed Compute, and Linux. This AI 3D model generator converts a single image or 2–4 multi-view images of the same object into a textured GLB mesh, a 3D Gaussian splat PLY file, and an MP4 turntable preview. V10 uses Python 3.12, PyTorch 2.13.0, CUDA 13, torchvision 0.28.0, and Gradio 6.20.0.

Core Single-Image and Multi-View Image-to-3D Features

Single image to 3D: upload or paste an object image, optionally remove its background, and generate a complete 3D asset.

Multi-image to 3D: provide 2–4 clean views of the same object and choose the stochastic or multidiffusion algorithm. Built-in multi-view example sets are included. Multi-image mode is experimental; single-image mode is usually sharper.

Two-stage generation controls: separately control sparse-structure guidance and sampling steps, structured-latent guidance and sampling steps, random or fixed seeds, and any number of repeated generations.

Automatic background removal: the bundled U2NET/rembg workflow prepares images without an alpha channel and automatically uses CUDA, DirectML, or CPU when available.

Fast workflow buttons: generate only the preview first, or use “Generate + extract everything” to create the preview video, textured GLB mesh, and Gaussian splat in one run.

Live progress and cancellation: every long operation reports the current stage, percentage, iteration speed, elapsed time, ETA, VRAM status, and a live log in both the browser and console. Generation and batch jobs can be cancelled.

Modern native 3D preview: V10 uses the built-in Gradio Model3D viewer for GLB and PLY previews, with direct download buttons and no custom viewer component.

Low-VRAM NVIDIA GPU Presets and Performance

The app detects the NVIDIA GPU and VRAM with nvidia-smi, then automatically selects one of seven protected presets: 6, 8, 10, 12, 16, 24, or 32 GB. Each preset changes precision, sampling steps, video quality, texture quality, bake settings, mesh generation, and process isolation together.

6 GB preset: approximately 5.1–5.5 GB measured peak VRAM in fp16. It produces the Gaussian splat and turntable video but skips mesh decoding, so GLB export is unavailable.

8–12 GB presets: approximately 7.6–8.1 GB measured peak VRAM in fp16 with the mesh and Gaussian enabled. The 10 GB tier adds the geometry pass; the 12 GB tier uses a 1024 px, 240-frame preview by default.

16–32 GB presets: approximately 12.1–12.9 GB measured peak VRAM in fp32, with progressively higher sampling, video, mesh, and texture quality.

Isolated job mode runs each task in its own process so the CUDA context is fully released afterward. This can recover roughly 1.2–1.7 GB between runs and protects the web interface if a worker runs out of memory.

FlashAttention, xFormers, SDPA, and naive attention backends are supported. The app automatically chooses the best installed backend, enables TF32 on supported NVIDIA GPUs, and includes a dedicated high-VRAM mode for maximum speed.

Important low-VRAM Windows note: the bundled Windows_Start.bat currently launches with the --highvram flag, which is the fastest mode and needs about 10 GB of VRAM. If your GPU has less VRAM, remove --highvram from the final launch command and then select the matching 6 GB or 8 GB preset inside the app.

Textured GLB, Gaussian Splat PLY, and Video Outputs

MP4 turntable preview: adjustable 256–2048 px resolution, 30–480 frames, 10–120 FPS, encoder quality 1–10, and an optional side-by-side geometry/normal pass. Disabling the geometry pass makes preview rendering about twice as fast.

Textured GLB mesh export: the extraction pipeline simplifies the mesh, fills holes, unwraps UVs, and bakes the Gaussian appearance into a texture. Controls include a 0.20–0.99 simplification factor, 512/1024/2048 px textures, 256–1024 px bake views, and 20–200 texture-bake views.

3D Gaussian splat export: save the generated Gaussian representation as a PLY file and preview it directly in the browser. PLY files are commonly around 50 MB, so the viewer can take a moment to display them.

Reproducible metadata: optional TXT/JSON metadata records the seed, stage guidance and steps, precision, attention backend, input mode, video settings, mesh vertex/triangle counts, number of Gaussians, timing, and output filename.

Outputs are organized automatically into separate video, GLB, Gaussian, and metadata folders with collision-safe numeric filenames.

Batch Image-to-3D Processing

Process an entire folder of PNG, JPG, JPEG, WebP, BMP, TIF, or TIFF images.

Create one or multiple generations per image and choose any combination of MP4 preview, textured GLB mesh, and Gaussian PLY output.

Reuse every generation, video, extraction, precision, and VRAM setting from the Generate tab.

Resume practical batch work with “skip existing”: an image is skipped when all requested output files already exist.

Natural filename sorting, dedicated output subfolders, image counting, processed/skipped/failed totals, per-item timing, average speed, ETA, live logs, and batch cancellation are included.

One-Click Installers and Resumable Model Downloads

Windows_Install_Or_Update.bat clones or updates the SECourses TRELLIS repository and submodules, creates a Python 3.12 virtual environment, installs the pinned dependencies with uv, and downloads every required model automatically.

RunPod_Trellis_Install.sh supports RunPod and SimplePod with a managed Python 3.12 environment, persistent Hugging Face/Torch/U2NET caches, pinned packages, automatic model downloads, and a bundled Linux FFmpeg/FFprobe installation.

Massed_Compute_Install.sh installs or reuses a stable Python 3.12 environment, falls back to uv-managed Python when needed, installs the CUDA stack, downloads the models, and installs FFmpeg.

Precompiled Torch 2.13/CUDA 13 wheels are supplied for xFormers, FlashAttention, SageAttention, TorchAO, nvdiffrast, diff-gaussian-rasterization, vox2seq, diffoctreerast, Kaolin, spconv, and cumm. The TRELLIS CUDA extensions do not need to compile during installation.

The custom model downloader uses up to 16 connections, automatic retry and backoff, byte-range resume, file-size checks, and SHA256 verification. Verified files are skipped safely, so interrupted downloads continue instead of restarting.

The installer pre-downloads roughly 4 GB of TRELLIS checkpoints, the 1.2 GB DINOv2 ViT-L/14 image conditioner, and the 176 MB U2NET background-removal model so the first generation does not stop for another large download.

Windows_Download_Resume_Models.bat only resumes/verifies model files; it does not reinstall the application. It is safe to run repeatedly.

Compatibility and Installation Notes

Windows requirements: Python 3.12.10, Git with Git LFS, FFmpeg, CUDA 13, cuDNN 9.17 or newer, Visual Studio Community with the C++ workload/options, and an up-to-date NVIDIA driver.

CUDA 13 compatibility: use NVIDIA driver 580 or newer and a GPU with compute capability sm_75 or newer—RTX 20, 30, 40, and 50 series plus compatible Turing, Ampere, Ada, Hopper, and Blackwell GPUs.

Keep the ZIP files together: requirements_trellis.txt and DownloadModels.py must remain beside the matching installer script. Use a short normal folder path, avoid spaces/special characters, and do not install from a cloud-synchronization folder.

For RunPod and SimplePod, extract the files in /workspace and use persistent storage plus the same HF_HOME, TORCH_HOME, and U2NET_HOME values on every start, otherwise large models may download again.

Make a fresh V10 installation. If a cloud storage error corrupts the virtual environment, remove only the TRELLIS venv and rerun the installer; completed model files will be verified and skipped.

Recommended TRELLIS V10 Workflow

Extract the latest trellis_v10.zip into a new folder and follow the requirements tutorial linked above.

Run the installer for Windows, RunPod/SimplePod, or Massed Compute and allow the automatic model verification/download to finish.

If a download is interrupted, rerun the installer or use Windows_Download_Resume_Models.bat; completed files are skipped and partial files resume.

Start SECourses TRELLIS Studio, confirm the automatically selected VRAM preset, and lower the tier if another GPU application is using VRAM.

Use a clean object image with clear separation from the background, or provide 2–4 consistent views of the same object. Generate a preview first, then extract GLB/PLY—or use “Generate + extract everything.”

For reproducible AI 3D assets, disable random seed and save the metadata file. For sharper geometry, try 20–25 sampling steps; for cleaner textures, use 2048 px texture size when VRAM allows.

In short: TRELLIS Studio V10 is a complete single-image and multi-view image-to-3D workflow with one-click Windows and cloud installers, low-VRAM presets, batch 3D asset generation, textured GLB export, 3D Gaussian splat PLY export, automatic background removal, resumable verified model downloads, and a modern Gradio interface

System info

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Comments

BecauseReasons

Epic thanks for getting this out quickly!

BecauseReasons

Not working for me in Win11 unfortunately. Error in Discord (Ai) channel.

Daniel Ramirez

Got a virus detected under MIcrosoft Defender on 2 different PCs

Nedo Braun

hmmm i have no luck so far getting this error here at the end message: "...ImportError: DLL load failed while importing core_cc: Das angegebene Modul wurde nicht gefunden. Error: Python script failed."

Nic D

Same issue BecauseReasons and I are having.

Nedo Braun

thank you Doc now it works! But if you are interested while installing this was the last message: "[notice] To update, run: python.exe -m pip install --upgrade pip C:\Python310\python.exe: can't open file 'D:\\Ai\\SECourses\\Trellis\\trellis_v2\\TRELLIS\\mip-splatting\\fix_app.py': [Errno 2] No such file or directory Virtual environment made and installed properly Drücken Sie eine beliebige Taste . . ."

Alex

I have a error with the v4 when I want generate the 3d model : python310.dll!PyObject_call_Prepend [ unknow file @ unknow line number ]

Alex

Ok there's a log file somewhere or I copy just everything manually ?

Alex

I have sent you the mail

Alex

Apparently "RuntimeError: FlashAttention only supports Ampere GPUs or newer." my gpu is not compatible with flash attention how I disable and use another attention like xformers ?

Alex

I have a quadro rtx 6000 24 go of vram

Patrick Mros

I get "NameError: name 'FlexiCubes' is not defined" when using windows_start.bat. Before I delete everything and start a new try, does anyone know how this could be fixed?

Patrick Mros

I made a fresh reinstall and I get "can't open file 'F:\\trellis_v2\\TRELLIS\\mip-splatting\\fix_app.py': [Errno 2] No such file or directory" after "Virtual environment made and installed properly". Edit: Where do I find the logs to send you?

Ahmet Inceelli

It's quite good for creating inial files from image for 3d apps. Thanks.

Bjoern

Nice stuff, thanks. But is there an option to get a larger, more detailed output? When I convert the GDL to STL for 3D Printing, it's quiet small. If I resize it to bigger dimensions it looses many details.

Wolf.AI (edited)

Comment edits

2026-09-07 10:00 Hey, I am getting the following error on Windows. What could this be? "F:\Trellis3D\TRELLIS>call .\venv\Scripts\activate.bat [SPARSE] Backend: spconv, Attention: flash_attn Warp 1.5.0 initialized: CUDA Toolkit 12.6, Driver 12.7 Devices: "cpu" : "Intel64 Family 6 Model 165 Stepping 5, GenuineIntel" "cuda:0" : "NVIDIA GeForce RTX 3090 Ti" (24 GiB, sm_86, mempool enabled) Kernel cache: C:\Users\Andreas\AppData\Local\NVIDIA\warp\Cache\1.5.0 [SPARSE][CONV] spconv algo: auto [ATTENTION] Using backend: flash_attn Using cache found in C:\Users\Andreas/.cache\torch\hub\facebookresearch_dinov2_main Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. Sampling: 100%|████████████████████████████████████████████████████████████████████████| 12/12 [00:02<00:00, 4.84it/s] Sampling: 100%|████████████████████████████████████████████████████████████████████████| 12/12 [00:05<00:00, 2.24it/s] Rendering: 0it [00:00, ?it/s] Traceback (most recent call last): File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\gradio\queueing.py", line 536, in process_events response = await route_utils.call_process_api( File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\gradio\blocks.py", line 1935, in process_api result = await self.call_function( File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\gradio\blocks.py", line 1520, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2505, in run_sync_in_worker_thread return await future File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 1005, in run result = context.run(func, *args) File "F:\Trellis3D\TRELLIS\venv\lib\site-packages\gradio\utils.py", line 826, in wrapper response = f(*args, **kwargs) File "F:\Trellis3D\TRELLIS\app.py", line 114, in image_to_3d video = render_utils.render_video(outputs['gaussian'][0], num_frames=120)['color'] File "F:\Trellis3D\TRELLIS\trellis\utils\render_utils.py", line 96, in render_video return render_frames(sample, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': bg_color}, **kwargs) File "F:\Trellis3D\TRELLIS\trellis\utils\render_utils.py", line 73, in render_frames res = renderer.render(sample, extr, intr, colors_overwrite=colors_overwrite) File "F:\Trellis3D\TRELLIS\trellis\renderers\gaussian_render.py", line 223, in render render_ret = render(camera_dict, gausssian, self.pipe, self.bg_color, override_color=colors_overwrite, scaling_modifier=self.pipe.scale_modifier) File "F:\Trellis3D\TRELLIS\trellis\renderers\gaussian_render.py", line 58, in render from diff_gaussian_rasterization import GaussianRasterizer, GaussianRasterizationSettings ModuleNotFoundError: No module named 'diff_gaussian_rasterization'"
2024-12-16 18:26

ExpSoft

same i success installing all you post but this one not working for me. i have to use conda and follow the github install page to success. This one looks hard to run well (EDIT... i'm out of my boots today i launched the install on a CMD :) I retry ! it need POWERSHELL) last edit :( Same install script not working on my windows) (venv) Z:\trellis_v4\TRELLIS>app.py Traceback (most recent call last): File "Z:\trellis_v4\TRELLIS\app.py", line 1, in import gradio as gr ModuleNotFoundError: No module named 'gradio' Help please :) of course i pip install gradio i tried many version and of course the one in requierement. I feel so noob :)

ExpSoft

To help for V5 :) this saved my..... :) tested on win10 100% work : git clone --recurse-submodules https://github.com/microsoft/TRELLIS.git cd TRELLIS conda create -n trellis python=3.10 conda activate trellis pip install torch==2.5.1 torchvision --index-url=https://download.pytorch.org/whl/cu124 pip install xformers==0.0.28.post3 --index-url=https://download.pytorch.org/whl/cu124 pip install pillow imageio imageio-ffmpeg tqdm easydict opencv-python-headless scipy ninja rembg onnxruntime trimesh xatlas pyvista pymeshfix igraph transformers pip install git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8 pip install https://github.com/bdashore3/flash-attention/releases/download/v2.7.1.post1/flash_attn-2.7.1.post1+cu124torch2.5.1cxx11abiFALSE-cp310-cp310-win_amd64.whl pip install kaolin -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124.html git clone https://github.com/NVlabs/nvdiffrast.git ./tmp/extensions/nvdiffrast pip install ./tmp/extensions/nvdiffrast git clone --recurse-submodules https://github.com/JeffreyXiang/diffoctreerast.git ./tmp/extensions/diffoctreerast pip install ./tmp/extensions/diffoctreerast git clone https://github.com/autonomousvision/mip-splatting.git ./tmp/extensions/mip-splatting pip install ./tmp/extensions/mip-splatting/submodules/diff-gaussian-rasterization/ cp -r ./extensions/vox2seq ./tmp/extensions/vox2seq pip install ./tmp/extensions/vox2seq pip install spconv-cu120 pip install gradio==4.44.1 gradio_litmodel3d==0.0.1 pip install triton-3.1.0-cp310-cp310-win_amd64.whl set ATTN_BACKEND=flash-attn set SPCONV_ALGO=native python ./app.py

Jacky Liu

I would like to loading the model from local. After downloading those models, where should I put it and which files should I edit?

Jacky Liu

Sorry, I mean the Pretrained Models. I follow the instruction from the Github and try to edit the file path, but it can't be loaded on my drive: The models are hosted on Hugging Face. You can directly load the models with their repository names in the code: TrellisImageTo3DPipeline.from_pretrained("JeffreyXiang/TRELLIS-image-large") If you prefer loading the model from local, you can download the model files from the links above and load the model with the folder path (folder structure should be maintained): TrellisImageTo3DPipeline.from_pretrained("/path/to/TRELLIS-image-large")

Jacky Liu

C:\trellis_v4\TRELLIS>call .\venv\Scripts\activate.bat [SPARSE] Backend: spconv, Attention: flash_attn Warp 1.5.1 initialized: CUDA Toolkit 12.6, Driver 12.4 Devices: "cpu" : "Intel64 Family 6 Model 167 Stepping 1, GenuineIntel" "cuda:0" : "NVIDIA RTX A6000" (45 GiB, sm_86, mempool enabled) Kernel cache: C:\Users\Jacky\AppData\Local\NVIDIA\warp\Cache\1.5.1 Traceback (most recent call last): File "C:\trellis_v4\TRELLIS\app.py", line 1199, in pipeline = TrellisImageTo3DPipeline.from_pretrained("C:/trellis_v4/TRELLIS/PretrainedModels/TRELLIS-image-large") File "C:\trellis_v4\TRELLIS\trellis\pipelines\trellis_image_to_3d.py", line 56, in from_pretrained pipeline = super(TrellisImageTo3DPipeline, TrellisImageTo3DPipeline).from_pretrained(path) File "C:\trellis_v4\TRELLIS\trellis\pipelines\base.py", line 39, in from_pretrained _models = { File "C:\trellis_v4\TRELLIS\trellis\pipelines\base.py", line 40, in k: models.from_pretrained(f"{path}/{v}") File "C:\trellis_v4\TRELLIS\trellis\models\__init__.py", line 54, in from_pretrained config_file = hf_hub_download(repo_id, f"{model_name}.json") File "C:\trellis_v4\TRELLIS\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 106, in _inner_fn validate_repo_id(arg_value) File "C:\trellis_v4\TRELLIS\venv\lib\site-packages\huggingface_hub\utils\_validators.py", line 160, in validate_repo_id raise HFValidationError( huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '_', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: 'C:/trellis_v4'. Error: Python script failed. Press any key to continue . . .

Junmoe62

Hello Furkan, to start I want to thank you for all the amazing work you're doing! That's awesome! Also, I have a question for you : is there a way to make Trellis work with 5090 yet? Thanks!

Junmoe62

Thank you for the feedback. It looks like we're gonna have to be patient for this one... :)

Hockey

I get this error when trying to start: C:\AI\Trellis\TRELLIS>call .\venv\Scripts\activate.bat [SPARSE] Backend: spconv, Attention: flash_attn Traceback (most recent call last): File "C:\AI\Trellis\TRELLIS\app.py", line 12, in from trellis.pipelines import TrellisImageTo3DPipeline File "C:\AI\Trellis\TRELLIS\trellis\__init__.py", line 3, in from . import pipelines File "C:\AI\Trellis\TRELLIS\trellis\pipelines\__init__.py", line 3, in from .trellis_text_to_3d import TrellisTextTo3DPipeline File "C:\AI\Trellis\TRELLIS\trellis\pipelines\trellis_text_to_3d.py", line 6, in import open3d as o3d ModuleNotFoundError: No module named 'open3d' Error: Python script failed. Press any key to continue . . .

Hockey

A friendly reminder for a fix of the issue. :)

Hockey

Strange, I get this warning 6 times when installing: WARNING: Ignoring invalid distribution -ip (c:\python310\lib\site-packages) My Python version is 3.10.11 Other warning message: Requested jinja2 from https://download.pytorch.org/whl/Jinja2-3.1.4-py3-none-any.whl#sha256=bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d (from torch==2.5.1) has inconsistent Name: expected 'jinja2', but metadata has 'Jinja2' Requested typing-extensions>=4.8.0 from https://download.pytorch.org/whl/typing_extensions-4.12.2-py3-none-any.whl#sha256=04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d (from torch==2.5.1) has inconsistent Name: expected 'typing-extensions', but metadata has 'typing_extensions' When I then try to start I get: C:\AI\Trellis>cd TRELLIS C:\AI\Trellis\TRELLIS>call .\venv\Scripts\activate.bat [SPARSE] Backend: spconv, Attention: flash_attn Traceback (most recent call last): File "C:\AI\Trellis\TRELLIS\app.py", line 12, in from trellis.pipelines import TrellisImageTo3DPipeline File "C:\AI\Trellis\TRELLIS\trellis\__init__.py", line 3, in from . import pipelines File "C:\AI\Trellis\TRELLIS\trellis\pipelines\__init__.py", line 3, in from .trellis_text_to_3d import TrellisTextTo3DPipeline File "C:\AI\Trellis\TRELLIS\trellis\pipelines\trellis_text_to_3d.py", line 6, in import open3d as o3d ModuleNotFoundError: No module named 'open3d' Error: Python script failed. Press any key to continue . . . I have many AI software from you which works brilliantly. =) What do you think is going wrong?

Stevie Tee

Encountering errors when intalling Trellis_v6 (I am using python 3.10.11, I have set MS Visual Studio cl.exe to use VS.2019 and I have set my Environment Variable CUDA path default to 12.8) : Apologies for the length of the Logs: Error during generation 1/1: Error building extension 'nvdiffrast_plugin': [1/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\cudaraster\impl\CudaRaster.cpp /FoCudaRaster.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [2/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\common.cpp /Focommon.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [3/16] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output RasterImpl.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\cudaraster\impl\RasterImpl.cu -o RasterImpl.cuda.o FAILED: RasterImpl.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output RasterImpl.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\cudaraster\impl\RasterImpl.cu -o RasterImpl.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include\crt/host_config.h(153): fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2022 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk. RasterImpl.cu [4/16] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output antialias.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\antialias.cu -o antialias.cuda.o FAILED: antialias.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output antialias.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\antialias.cu -o antialias.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include\crt/host_config.h(153): fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2022 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk. antialias.cu [5/16] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output interpolate.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\interpolate.cu -o interpolate.cuda.o FAILED: interpolate.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output interpolate.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\interpolate.cu -o interpolate.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include\crt/host_config.h(153): fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2022 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk. interpolate.cu [6/16] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output texture.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\texture.cu -o texture.cuda.o FAILED: texture.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output texture.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\texture.cu -o texture.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include\crt/host_config.h(153): fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2022 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk. texture.cu [7/16] C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output rasterize.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\rasterize.cu -o rasterize.cuda.o FAILED: rasterize.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc --generate-dependencies-with-compile --dependency-output rasterize.cuda.o.d -Xcudafe --diag_suppress=dll_interface_conflict_dllexport_assumed -Xcudafe --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe --diag_suppress=base_class_has_different_dll_interface -Xcompiler /EHsc -Xcompiler /wd4068 -Xcompiler /wd4067 -Xcompiler /wd4624 -Xcompiler /wd4190 -Xcompiler /wd4018 -Xcompiler /wd4275 -Xcompiler /wd4267 -Xcompiler /wd4244 -Xcompiler /wd4251 -Xcompiler /wd4819 -Xcompiler /MD -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 -std=c++17 -DNVDR_TORCH -lineinfo -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\rasterize.cu -o rasterize.cuda.o C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include\crt/host_config.h(153): fatal error C1189: #error: -- unsupported Microsoft Visual Studio version! Only the versions between 2017 and 2022 (inclusive) are supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run time execution. Use at your own risk. rasterize.cu [8/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\texture.cpp /Fotexture.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [9/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\torch\torch_interpolate.cpp /Fotorch_interpolate.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [10/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\cudaraster\impl\Buffer.cpp /FoBuffer.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [11/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\torch\torch_texture.cpp /Fotorch_texture.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [12/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\torch\torch_antialias.cpp /Fotorch_antialias.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [13/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\torch\torch_rasterize.cpp /Fotorch_rasterize.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. [14/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\cudaraster\impl\RasterImpl.cpp /FoRasterImpl.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\common\cudaraster\impl\RasterImpl.cpp(327) : warning C4700: uninitialized local variable 'p' used [15/16] cl /showIncludes -DTORCH_EXTENSION_NAME=nvdiffrast_plugin -DTORCH_API_INCLUDE_EXTENSION_H -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include -IE:\trellis_v6\TRELLIS\venv\lib\site-packages\torch\include\torch\csrc\api\include "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include" "-IC:\Program Files\Python310.11\Include" -D_GLIBCXX_USE_CXX11_ABI=0 /MD /wd4819 /wd4251 /wd4244 /wd4267 /wd4275 /wd4018 /wd4190 /wd4624 /wd4067 /wd4068 /EHsc /std:c++17 -DNVDR_TORCH /wd4067 /wd4624 -c E:\trellis_v6\TRELLIS\venv\lib\site-packages\nvdiffrast\torch\torch_bindings.cpp /Fotorch_bindings.o Microsoft (R) C/C++ Optimizing Compiler Version 19.43.34810 for x64 Copyright (C) Microsoft Corporation. All rights reserved. ninja: build stopped: subcommand failed.

Hockey

Many thanks, now it works fine. =)

Hockey

Would it be possible to either add lora support or multiple images (different angles) for the 3D generation?

Hockey

I found it, thought it was batch, thank you.

Anthony

holy... this release is amazing

James Robbins

Fails to launch Virtual ENV. E:\Local apps\trellis_v6>cd TRELLIS E:\Local apps\trellis_v6\TRELLIS>call .\venv\Scripts\activate.bat The system cannot find the path specified. E:\Local apps\trellis_v6\TRELLIS>if errorlevel 1 ( echo Error: Failed to activate the virtual environment. pause exit /b ) Error: Failed to activate the virtual environment. Press any key to continue . . .

Junior

Hugging Face cache folders set to: D:\trellis_v6\TRELLIS\models C:\Python310\python.exe: can't open file 'D:\\trellis_v6\\TRELLIS\\secourses_trellis.py': [Errno 2] No such file or directory Error: Python script failed. Please press any key to continue. . . What do I need to do, I ran Windows_Install.bat and Windows_Download_Models.bat Windows_Update.bat, but the size of the folder TRELLIS is only 13.2GB, I don't know what I missed

Junior

I installed it according to the tutorial, python310 CUDA 12.8 CUDNNV 9.7 Git2.49.0 VS c++ I don't know what I'm missing, and there were no errors during the installation process

Junior

Requirement already satisfied: certifi>=2017.4.17 in d:\trellis_v6\trellis\venv\lib\site-packages (from requests->ccimport>=0.4.0->spconv-cu120) (2025.4.26) Collecting git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8 Cloning https://github.com/EasternJournalist/utils3d.git (to revision 9a4eb15e4021b67b12c460c7057d642626897ec8) to c:\users\junni\appdata\local\temp\pip-req-build-l_yt0w1g Running command git clone --filter=blob:none --quiet https://github.com/EasternJournalist/utils3d.git 'C:\Users\Junni\AppData\Local\Temp\pip-req-build-l_yt0w1g' fatal: unable to access 'https://github.com/EasternJournalist/utils3d.git/': Recv failure: Connection was reset error: subprocess-exited-with-error × git clone --filter=blob:none --quiet https://github.com/EasternJournalist/utils3d.git 'C:\Users\Junni\AppData\Local\Temp\pip-req-build-l_yt0w1g' did not run successfully. │ exit code: 128 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × git clone --filter=blob:none --quiet https://github.com/EasternJournalist/utils3d.git 'C:\Users\Junni\AppData\Local\Temp\pip-req-build-l_yt0w1g' did not run successfully. │ exit code: 128 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip.

Junior

pip install git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8 Collecting git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8 Cloning https://github.com/EasternJournalist/utils3d.git (to revision 9a4eb15e4021b67b12c460c7057d642626897ec8) to c:\users\junni\appdata\local\temp\pip-req-build-crqu_dre Running command git clone --filter=blob:none --quiet https://github.com/EasternJournalist/utils3d.git 'C:\Users\Junni\AppData\Local\Temp\pip-req-build-crqu_dre' I have tried many times, but this one doesn't work. All others are OK. It should not be the network problem.

Junior

Hugging Face cache folders set to: D:\trellis_v6\TRELLIS\models C:\Python310\python.exe: can't open file 'D:\\trellis_v6\\TRELLIS\\secourses_trellis.py': [Errno 2] No such file or directory Error: Python script failed. 请按任意键继续. . .

Junior

I don't see the file exist: secourses_trellis.py

Junior

I think I need to start from scratch and export the complete log to send to you

Hockey

Is it possible to have an option to not remove the background?

Brendan Luu

Is it possible to run this in a Huggingface Spaces? It would be much appreciated if it could be explained how to.

Brendan Luu

Running on Massed Compute H100. less than 512 video generation. Error when trying to generate video: Error during generation 1/1: CUDA out of memory. Tried to allocate 66846724.02 GiB. GPU 0 has a total capacity of 79.20 GiB of which 72.53 GiB is free. Including non-PyTorch memory, this process has 6.54 GiB memory in use. Of the allocated memory 5.42 GiB is allocated by PyTorch, and 238.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)

Brendan Luu

🤔 what do you mean which app?

Brendan Luu

Did I install something improperly? I just followed the runpod instructions again and am getting the same error.

Pablo Vindas

I have this issue in task status log: "Error during generation 1/1: DLL load failed while importing nvdiffrast_plugin: The specified module could not be found."

reality another

"Hello, I have an RTX 2060 with 12GB of VRAM, but I'm getting this error." Error during generation 1/1: FlashAttention only supports Ampere GPUs or newer. Exception raised from mha_fwd at C:\f\flsh311\csrc\flash_attn\flash_api.cpp:370 (most recent call first): 00007FFE675E2C2400007FFE675E2B80 c10.dll!c10::Error::Error [ @ ] 00007FFE675E169A00007FFE675E1640 c10.dll!c10::detail::torchCheckFail [ @ ]

IF Angelfire

On the Windows_Start.bat, The System couldnt find the path for the script, how can i fix this? D:\trellis_v9>cd TRELLIS D:\trellis_v9\TRELLIS>call .\venv\Scripts\activate.bat Das System kann den angegebenen Pfad nicht finden. D:\trellis_v9\TRELLIS>if errorlevel 1 ( echo Error: Failed to activate the virtual environment. pause exit /b ) Error: Failed to activate the virtual environment. Drücken Sie eine beliebige Taste . . .

Diggy Dre

When I try to install this, I end up with: 'uv' is not recognized as an internal or external command, operable program or batch file. Traceback (most recent call last): File "E:\AI_GENERATIVE\trellis_v10\DownloadModels.py", line 50, in from huggingface_hub import HfApi, hf_hub_url, get_hf_file_metadata ModuleNotFoundError: No module named 'huggingface_hub' Press any key to continue . . .