Text-to-Image
GGUF
stable-diffusion
stable-diffusion-xl
sdxl
flux
wan22
lora
klein
ltx-2
ltx2
image-to-image
video
codex-webui
Instructions to use sangoi-exe/sd-webui-codex 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 sangoi-exe/sd-webui-codex 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 sangoi-exe/sd-webui-codex:Q4_K_M # Run inference directly in the terminal: llama cli -hf sangoi-exe/sd-webui-codex:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sangoi-exe/sd-webui-codex:Q4_K_M # Run inference directly in the terminal: llama cli -hf sangoi-exe/sd-webui-codex: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 sangoi-exe/sd-webui-codex:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf sangoi-exe/sd-webui-codex: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 sangoi-exe/sd-webui-codex:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf sangoi-exe/sd-webui-codex:Q4_K_M
Use Docker
docker model run hf.co/sangoi-exe/sd-webui-codex:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use sangoi-exe/sd-webui-codex with Ollama:
ollama run hf.co/sangoi-exe/sd-webui-codex:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use sangoi-exe/sd-webui-codex with Docker Model Runner:
docker model run hf.co/sangoi-exe/sd-webui-codex:Q4_K_M
- Lemonade
How to use sangoi-exe/sd-webui-codex with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sangoi-exe/sd-webui-codex:Q4_K_M
Run and chat with the model
lemonade run user.sd-webui-codex-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 8c1901133de8d49db78239cffab72ba39f57ff5471e16dab69815623b9e81255
- Size of remote file:
- 6.04 GB
- SHA256:
- af3b8df0e9c547d0ee3cdbcd3ba450f47006fc8c8430ec0a7d05641a7de46fd7
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