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fernandotonon
/
QtMeshEditor-models

Image-to-3D
ONNX
GGUF
pbr
texture
normal-map
3d
rigging
qtmesheditor
qtmesh
qtmesh-cloud
conversational
Model card Files Files and versions
xet
Community

Instructions to use fernandotonon/QtMeshEditor-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use fernandotonon/QtMeshEditor-models with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf fernandotonon/QtMeshEditor-models:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf fernandotonon/QtMeshEditor-models:Q8_0
    Use Docker
    docker model run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use fernandotonon/QtMeshEditor-models with Ollama:

    ollama run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
  • Unsloth Desktop
  • Docker Model Runner

    How to use fernandotonon/QtMeshEditor-models with Docker Model Runner:

    docker model run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
  • Lemonade

    How to use fernandotonon/QtMeshEditor-models with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull fernandotonon/QtMeshEditor-models:Q8_0
    Run and chat with the model
    lemonade run user.QtMeshEditor-models-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
QtMeshEditor-models / motion
120 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
fernandotonon's picture
fernandotonon
motion library: vertical descent + spine guard + drop bad clips (#838), 46 clips
a36823b verified about 1 month ago
  • ATTRIBUTION.md
    19 kB
    t2m v5 corpus CC-BY attribution (#838) about 1 month ago
  • motion-library.json
    5.19 MB
    xet
    motion library: vertical descent + spine guard + drop bad clips (#838), 46 clips about 1 month ago
  • t2m-v4.onnx
    17.7 MB
    xet
    t2m: preserve v4 CVAE as motion/t2m-v4.onnx before the v5 flow model (#858) about 2 months ago
  • t2m-vocab-v4.json
    412 Bytes
    t2m: preserve v4 CVAE as motion/t2m-vocab-v4.json before the v5 flow model (#858) about 2 months ago
  • t2m-vocab.json
    1.2 kB
    v6.1 t2m vocab about 1 month ago
  • t2m.onnx
    96.6 MB
    xet
    v6.1 t2m: stride-gated retrain fixes sideways walk (fwd/side 1.2->2.29) (#837) about 1 month ago