VAST-AI TripoSF 1-Click Windows, RunPod and Massed Compute Installer for a Very Advanced Gradio App - 3D Shape
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Project Page : https://xianglonghe.github.io/TripoSF/index.html
The app will get more features hopefully soon - I had to rush publish since requested
It will download the necessary model file automatically - run installer again if fails
Latest Installer Zip File : TripoSF_v6.zip
26 May 2025 - V6
Batch processing added
Outputs naming improved and fixed
Installers updated to latest official Torch 2.7 and CUDA 12.8
I have compiled some extra libraries and now RunPod and Massed Compute installers added as well
Windows Requirements
Python 3.10, FFmpeg, CUDA 12.8 or above, cuDNN 9.7 or above, C++ tools, MSVC and Git
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
Massed Compute (Recommend Cloud) :
Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute
Use our coupon SECourses
Our coupon works on all GPUs now
H100 has amazing price and speed but you can use like RTX A6000 ADA as well
Full details here : https://www.patreon.com/posts/26671823
Then select our image SECourses from Creator dropdown
Then follow Massed_Compute_Instructions_READ.txt
Same as my any other Massed Compute installer script
Example tutorial for learn how to install and use Massed Compute
(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778
RunPod (Cloud):
Please register via this link : https://get.runpod.io/955rkuppqv4h
Then follow Runpod_Instructions_READ.txt
Same as my any other RunPod installer script
Use the template written in Runpod_Instructions_READ.txt file
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323
Comments
ohh this wont work on 6GB rtx :( Generated sparse_voxels shape: torch.Size([176137, 3]), points_sample shape: torch.Size([819200, 6]) Error during reconstruction: CUDA out of memory. Tried to allocate 730.00 MiB. GPU 0 has a total capacity of 6.00 GiB of which 0 bytes is free. Of the allocated memory 11.64 GiB is allocated by PyTorch, and 320.58 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)
Kahlid Seid
2025-05-26 05:15:09 +0000 UTCworking on update right now
Furkan Gözükara
2025-05-25 16:53:27 +0000 UTCSuccessfully installed pip-25.1.1 Looking in indexes: https://download.pytorch.org/whl/nightly/cu128 ERROR: Could not find a version that satisfies the requirement torch==2.7.0.dev20250311 (from versions: 2.7.0.dev20250310+cu128, 2.8.0.dev20250327+cu128, 2.8.0.dev20250401+cu128, 2.8.0.dev20250402+cu128, 2.8.0.dev20250403+cu128, 2.8.0.dev20250404+cu128, 2.8.0.dev20250405+cu128, 2.8.0.dev20250406+cu128, 2.8.0.dev20250407+cu128, 2.8.0.dev20250408+cu128, 2.8.0.dev20250409+cu128, 2.8.0.dev20250410+cu128, 2.8.0.dev20250411+cu128, 2.8.0.dev20250412+cu128, 2.8.0.dev20250413+cu128, 2.8.0.dev20250414+cu128, 2.8.0.dev20250415+cu128, 2.8.0.dev20250416+cu128, 2.8.0.dev20250417+cu128, 2.8.0.dev20250418+cu128, 2.8.0.dev20250419+cu128, 2.8.0.dev20250420+cu128, 2.8.0.dev20250421+cu128, 2.8.0.dev20250422+cu128, 2.8.0.dev20250423+cu128, 2.8.0.dev20250424+cu128, 2.8.0.dev20250425+cu128, 2.8.0.dev20250426+cu128, 2.8.0.dev20250427+cu128, 2.8.0.dev20250428+cu128, 2.8.0.dev20250429+cu128, 2.8.0.dev20250430+cu128, 2.8.0.dev20250501+cu128, 2.8.0.dev20250502+cu128, 2.8.0.dev20250503+cu128, 2.8.0.dev20250504+cu128, 2.8.0.dev20250505+cu128, 2.8.0.dev20250506+cu128, 2.8.0.dev20250507+cu128, 2.8.0.dev20250508+cu128, 2.8.0.dev20250509+cu128, 2.8.0.dev20250510+cu128, 2.8.0.dev20250511+cu128, 2.8.0.dev20250512+cu128, 2.8.0.dev20250513+cu128, 2.8.0.dev20250514+cu128, 2.8.0.dev20250515+cu128, 2.8.0.dev20250516+cu128, 2.8.0.dev20250517+cu128, 2.8.0.dev20250518+cu128, 2.8.0.dev20250519+cu128, 2.8.0.dev20250520+cu128, 2.8.0.dev20250521+cu128, 2.8.0.dev20250522+cu128, 2.8.0.dev20250523+cu128, 2.8.0.dev20250524+cu128, 2.8.0.dev20250525+cu128) ERROR: No matching distribution found for torch==2.7.0.dev20250311 but the latest trellis works well
Kahlid Seid
2025-05-25 12:15:49 +0000 UTCi plan to publish that one too hopefully soon
Furkan Gözükara
2025-04-17 22:50:31 +0000 UTCOhh... So i thought it'll be this one https://github.com/VAST-AI-Research/TripoSG their latest Img2model generator...
George Gostyshev
2025-04-17 21:43:11 +0000 UTCwell i am not sure how does this one work yet :D i published since someone requested
Furkan Gözükara
2025-04-15 23:30:53 +0000 UTChow does this compare to the others?
Nobodys Hero
2025-04-15 23:07:41 +0000 UTCplease try v2 and let me know. make a fresh install
Furkan Gözükara
2025-04-15 15:33:19 +0000 UTCEdit this file and set set HF_HUB_ENABLE_HF_TRANSFER=0 if you get model download errors of HF_TRANSFER Traceback (most recent call last): File "E:\TripoSF_v1\TripoSF\app_secourses.py", line 24, in import gradio as gr ModuleNotFoundError: No module named 'gradio' Press any key to continue . . .
Gianfranco Gaioni
2025-04-15 13:32:47 +0000 UTC
