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.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp 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 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 serve -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 Desktop
- 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
- Atomic Chat
Download stable-diffusion-cpp-nvidia/ggml/src/CMakeFiles/ggml-base.dir/flags.make from isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp: direct link, hf CLI and curl.
- Browser
- Download file 1.14 kB
-
https://huggingface.co/isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp/resolve/main/stable-diffusion-cpp-nvidia/ggml/src/CMakeFiles/ggml-base.dir/flags.make
- Command line
-
hf download hf://isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp/stable-diffusion-cpp-nvidia/ggml/src/CMakeFiles/ggml-base.dir/flags.make
-
curl -L -o flags.make https://huggingface.co/isfs/wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp/resolve/main/stable-diffusion-cpp-nvidia/ggml/src/CMakeFiles/ggml-base.dir/flags.make
1.14 kB
| # CMAKE generated file: DO NOT EDIT! | |
| # Generated by "Unix Makefiles" Generator, CMake Version 3.31 | |
| # compile C with /usr/bin/cc | |
| # compile CXX with /usr/bin/c++ | |
| C_DEFINES = -DGGML_COMMIT=\"a8db410a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.9.5\" -DSD_USE_CUDA -D_GNU_SOURCE -D_XOPEN_SOURCE=600 | |
| C_INCLUDES = -I/kaggle/working/stable-diffusion.cpp/ggml/src/. -I/kaggle/working/stable-diffusion.cpp/ggml/src/../include | |
| C_FLAGS = -O3 -DNDEBUG -std=gnu11 -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes -Werror=implicit-int -Werror=implicit-function-declaration -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wdouble-promotion | |
| CXX_DEFINES = -DGGML_COMMIT=\"a8db410a\" -DGGML_MAX_NAME=128 -DGGML_SCHED_MAX_COPIES=4 -DGGML_VERSION=\"0.9.5\" -DSD_USE_CUDA -D_GNU_SOURCE -D_XOPEN_SOURCE=600 | |
| CXX_INCLUDES = -I/kaggle/working/stable-diffusion.cpp/ggml/src/. -I/kaggle/working/stable-diffusion.cpp/ggml/src/../include | |
| CXX_FLAGS = -O3 -DNDEBUG -std=gnu++17 -Wmissing-declarations -Wmissing-noreturn -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function -Wno-array-bounds -Wextra-semi | |