Repository Not Found for url: https://huggingface.co/ckpts/ss_flow_img_dit_L_16l8_fp16/resolve/main/.jso
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Description
question
The url that is looking for ss_flow_img_dit_L_16l8_fp16.json is actually not found. Even if I download the model in advance, it is not recognized,
and when I try to change the url, the location cannot be found.
wsl2 ubuntu 24.04
setting
https://github.com/microsoft/TRELLIS/tree/main?tab=readme-ov-file#installation-steps
git clone --recurse-submodules https://github.com/microsoft/TRELLIS.git
cd TRELLIS
. ./setup.sh --new-env --basic --xformers --flash-attn --diffoctreerast --spconv --mipgaussian --kaolin --nvdiffrast
. ./setup.sh --demo
when
python app.py
error
Repository Not Found for url: https://huggingface.co/ckpts/ss_flow_img_dit_L_16l8_fp16/resolve/main/.json.
Please make sure you specified the correct repo_id and repo_type.
If you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication
try1
cd trellis/models
pip install huggingface_hub
huggingface-cli login
huggingface-cli download microsoft/TRELLIS-image-large --local-dir ./TRELLIS-image-large
huggingface-cli download microsoft/TRELLIS-text-xlarge --local-dir ./TRELLIS-text-xlarge
try2
at /TRELLIS
grep -RIn json.load .
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with app.py and the model-loading paths found by the reported grep -RIn json.load command, then compare them with the Hugging Face model paths in the installation README. Done means the referenced JSON file resolves from the intended repository and python app.py starts without the Repository Not Found error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- ai, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100