Instructions to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp", filename="Wan2.2-TI2V-5B-Q2_K.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K # Run inference directly in the terminal: llama-cli -hf isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K # Run inference directly in the terminal: llama-cli -hf isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
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 isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K # Run inference directly in the terminal: ./llama-cli -hf isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
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 isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
Use Docker
docker model run hf.co/isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
- LM Studio
- Jan
- Ollama
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with Ollama:
ollama run hf.co/isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
- Unsloth Studio new
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp to start chatting
- Docker Model Runner
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with Docker Model Runner:
docker model run hf.co/isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
- Lemonade
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp:Q2_K
Run and chat with the model
lemonade run user.wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp-Q2_K
List all available models
lemonade list
| # Install script for directory: /kaggle/working/stable-diffusion.cpp/ggml | |
| # Set the install prefix | |
| if(NOT DEFINED CMAKE_INSTALL_PREFIX) | |
| set(CMAKE_INSTALL_PREFIX "/usr/local") | |
| endif() | |
| string(REGEX REPLACE "/$" "" CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}") | |
| # Set the install configuration name. | |
| if(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) | |
| if(BUILD_TYPE) | |
| string(REGEX REPLACE "^[^A-Za-z0-9_]+" "" | |
| CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}") | |
| else() | |
| set(CMAKE_INSTALL_CONFIG_NAME "Release") | |
| endif() | |
| message(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"") | |
| endif() | |
| # Set the component getting installed. | |
| if(NOT CMAKE_INSTALL_COMPONENT) | |
| if(COMPONENT) | |
| message(STATUS "Install component: \"${COMPONENT}\"") | |
| set(CMAKE_INSTALL_COMPONENT "${COMPONENT}") | |
| else() | |
| set(CMAKE_INSTALL_COMPONENT) | |
| endif() | |
| endif() | |
| # Install shared libraries without execute permission? | |
| if(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) | |
| set(CMAKE_INSTALL_SO_NO_EXE "1") | |
| endif() | |
| # Is this installation the result of a crosscompile? | |
| if(NOT DEFINED CMAKE_CROSSCOMPILING) | |
| set(CMAKE_CROSSCOMPILING "FALSE") | |
| endif() | |
| # Set path to fallback-tool for dependency-resolution. | |
| if(NOT DEFINED CMAKE_OBJDUMP) | |
| set(CMAKE_OBJDUMP "/usr/bin/objdump") | |
| endif() | |
| if(NOT CMAKE_INSTALL_LOCAL_ONLY) | |
| # Include the install script for the subdirectory. | |
| include("/kaggle/working/stable-diffusion.cpp/build/ggml/src/cmake_install.cmake") | |
| endif() | |
| if(CMAKE_INSTALL_COMPONENT STREQUAL "Unspecified" OR NOT CMAKE_INSTALL_COMPONENT) | |
| file(INSTALL DESTINATION "${CMAKE_INSTALL_PREFIX}/lib" TYPE STATIC_LIBRARY FILES "/kaggle/working/stable-diffusion.cpp/build/ggml/src/libggml.a") | |
| endif() | |
| if(CMAKE_INSTALL_COMPONENT STREQUAL "Unspecified" OR NOT CMAKE_INSTALL_COMPONENT) | |
| file(INSTALL DESTINATION "${CMAKE_INSTALL_PREFIX}/include" TYPE FILE FILES | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-cpu.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-alloc.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-backend.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-blas.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-cann.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-cpp.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-cuda.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-opt.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-metal.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-rpc.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-virtgpu.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-sycl.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-vulkan.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-webgpu.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/ggml-zendnn.h" | |
| "/kaggle/working/stable-diffusion.cpp/ggml/include/gguf.h" | |
| ) | |
| endif() | |
| if(CMAKE_INSTALL_COMPONENT STREQUAL "Unspecified" OR NOT CMAKE_INSTALL_COMPONENT) | |
| file(INSTALL DESTINATION "${CMAKE_INSTALL_PREFIX}/lib" TYPE STATIC_LIBRARY FILES "/kaggle/working/stable-diffusion.cpp/build/ggml/src/libggml-base.a") | |
| endif() | |
| if(CMAKE_INSTALL_COMPONENT STREQUAL "Unspecified" OR NOT CMAKE_INSTALL_COMPONENT) | |
| file(INSTALL DESTINATION "${CMAKE_INSTALL_PREFIX}/lib/cmake/ggml" TYPE FILE FILES | |
| "/kaggle/working/stable-diffusion.cpp/build/ggml/ggml-config.cmake" | |
| "/kaggle/working/stable-diffusion.cpp/build/ggml/ggml-version.cmake" | |
| ) | |
| endif() | |
| string(REPLACE ";" "\n" CMAKE_INSTALL_MANIFEST_CONTENT | |
| "${CMAKE_INSTALL_MANIFEST_FILES}") | |
| if(CMAKE_INSTALL_LOCAL_ONLY) | |
| file(WRITE "/kaggle/working/stable-diffusion.cpp/build/ggml/install_local_manifest.txt" | |
| "${CMAKE_INSTALL_MANIFEST_CONTENT}") | |
| endif() | |