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
| # This is a basic version file for the Config-mode of find_package(). | |
| # It is used by write_basic_package_version_file() as input file for configure_file() | |
| # to create a version-file which can be installed along a config.cmake file. | |
| # | |
| # The created file sets PACKAGE_VERSION_EXACT if the current version string and | |
| # the requested version string are exactly the same and it sets | |
| # PACKAGE_VERSION_COMPATIBLE if the current version is >= requested version, | |
| # but only if the requested major version is the same as the current one. | |
| # The variable CVF_VERSION must be set before calling configure_file(). | |
| set(PACKAGE_VERSION "0.9.5") | |
| if(PACKAGE_VERSION VERSION_LESS PACKAGE_FIND_VERSION) | |
| set(PACKAGE_VERSION_COMPATIBLE FALSE) | |
| else() | |
| if("0.9.5" MATCHES "^([0-9]+)\\.") | |
| set(CVF_VERSION_MAJOR "${CMAKE_MATCH_1}") | |
| if(NOT CVF_VERSION_MAJOR VERSION_EQUAL 0) | |
| string(REGEX REPLACE "^0+" "" CVF_VERSION_MAJOR "${CVF_VERSION_MAJOR}") | |
| endif() | |
| else() | |
| set(CVF_VERSION_MAJOR "0.9.5") | |
| endif() | |
| if(PACKAGE_FIND_VERSION_RANGE) | |
| # both endpoints of the range must have the expected major version | |
| math (EXPR CVF_VERSION_MAJOR_NEXT "${CVF_VERSION_MAJOR} + 1") | |
| if (NOT PACKAGE_FIND_VERSION_MIN_MAJOR STREQUAL CVF_VERSION_MAJOR | |
| OR ((PACKAGE_FIND_VERSION_RANGE_MAX STREQUAL "INCLUDE" AND NOT PACKAGE_FIND_VERSION_MAX_MAJOR STREQUAL CVF_VERSION_MAJOR) | |
| OR (PACKAGE_FIND_VERSION_RANGE_MAX STREQUAL "EXCLUDE" AND NOT PACKAGE_FIND_VERSION_MAX VERSION_LESS_EQUAL CVF_VERSION_MAJOR_NEXT))) | |
| set(PACKAGE_VERSION_COMPATIBLE FALSE) | |
| elseif(PACKAGE_FIND_VERSION_MIN_MAJOR STREQUAL CVF_VERSION_MAJOR | |
| AND ((PACKAGE_FIND_VERSION_RANGE_MAX STREQUAL "INCLUDE" AND PACKAGE_VERSION VERSION_LESS_EQUAL PACKAGE_FIND_VERSION_MAX) | |
| OR (PACKAGE_FIND_VERSION_RANGE_MAX STREQUAL "EXCLUDE" AND PACKAGE_VERSION VERSION_LESS PACKAGE_FIND_VERSION_MAX))) | |
| set(PACKAGE_VERSION_COMPATIBLE TRUE) | |
| else() | |
| set(PACKAGE_VERSION_COMPATIBLE FALSE) | |
| endif() | |
| else() | |
| if(PACKAGE_FIND_VERSION_MAJOR STREQUAL CVF_VERSION_MAJOR) | |
| set(PACKAGE_VERSION_COMPATIBLE TRUE) | |
| else() | |
| set(PACKAGE_VERSION_COMPATIBLE FALSE) | |
| endif() | |
| if(PACKAGE_FIND_VERSION STREQUAL PACKAGE_VERSION) | |
| set(PACKAGE_VERSION_EXACT TRUE) | |
| endif() | |
| endif() | |
| endif() | |
| # if the installed or the using project don't have CMAKE_SIZEOF_VOID_P set, ignore it: | |
| if("${CMAKE_SIZEOF_VOID_P}" STREQUAL "" OR "8" STREQUAL "") | |
| return() | |
| endif() | |
| # check that the installed version has the same 32/64bit-ness as the one which is currently searching: | |
| if(NOT CMAKE_SIZEOF_VOID_P STREQUAL "8") | |
| math(EXPR installedBits "8 * 8") | |
| set(PACKAGE_VERSION "${PACKAGE_VERSION} (${installedBits}bit)") | |
| set(PACKAGE_VERSION_UNSUITABLE TRUE) | |
| endif() | |