Text-to-Image
GGUF
English
wan 2.2
text to image
upscale
inpainting
controlnet
depth
canny
redux
comfyui
flux
krea
sdxl
kontext
nunchuka
Instructions to use zhangxiaole258/ComfyUI-Starter-Packs 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 zhangxiaole258/ComfyUI-Starter-Packs 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 zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: llama cli -hf zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: llama cli -hf zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
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 zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
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 zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
Use Docker
docker model run hf.co/zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use zhangxiaole258/ComfyUI-Starter-Packs with Ollama:
ollama run hf.co/zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use zhangxiaole258/ComfyUI-Starter-Packs with Docker Model Runner:
docker model run hf.co/zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
- Lemonade
How to use zhangxiaole258/ComfyUI-Starter-Packs with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull zhangxiaole258/ComfyUI-Starter-Packs:Q4_K_M
Run and chat with the model
lemonade run user.ComfyUI-Starter-Packs-Q4_K_M
List all available models
lemonade list
- Atomic Chat
ComfyUI-Starter-Packs / Wan2.2 /loras_14b /Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors
- Xet hash:
- 6925ad9cda260b92535e55d032e867f1f3a4a981eb58dad70ca2cbaa081bcca2
- Size of remote file:
- 614 MB
- SHA256:
- a3d474925042ec908c212c6c4c1e338637e27585c3970253f65b9638a9f5874b
·
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