Supports MPS (Apple Silicon), CUDA and CPU

• Multiple Models: Supports FLUX.1-schnell and FLUX.1-dev
• LoRA Support: Interactive LoRA picker for easy selection
• Cross-Platform: Supports MPS, CUDA and CPU
• Tested on macOS: Works well on Apple Silicon¹

Cloning the repository:

git clone https://github.com/SplittyDev/flux1-cli.git cd flux1-cli

Using uv (recommended):

uv venv source .venv/bin/activate uv pip install -r requirements.txt python3 src/main.py

Using pip:

python3 -m venv .venv source .venv/bin/activate python3 -m pip install -r requirements.txt python3 src/main.py

Simply put your .safetensors files in the lora directory.
They will be available immediately when typing /lora.

The CLI supports various modifiers, which can be added to the end of the prompt, like this:

• Photograph of a meadow in a forest /fast
• Photograph of a meadow in a forest /1024x768 /slow
• Photograph of a meadow in a forest /seed=1234 /8

List of Modifiers:

The CLI also supports standalone modifiers, which only work on their own line.

List of Standalone Modifiers:

• Leaving the prompt completely empty will repeat the last prompt
• You can combine modifiers, like this: Photograph of a meadow in a forest /fast /seed=1234
• You can apply new modifiers without repeating the prompt, like this: /slow /1024x768
• Images are saved in this format: output/<date>/<timestamp>_<seed>.png

Annotated example, explaning the thought process

# Initial prompt. Generate images fast, to get a feeling for the prompt. λ Prompt: Photograph of a meadow in a forest /fast # Refine prompt. Fast mode is still active, no need to repeat it. λ Prompt: High resolution photograph of a meadow in a forest # This looks nice! Let's generate the same image again, but in slow mode. λ Prompt: /again /slow # Let's keep the same prompt, but randomize the seed again. λ Prompt: /random # Let's try it in landscape mode, but fast, to see if it looks better. λ Prompt: /1920x1080 /fast # Alright, let's call it a day λ Prompt: /quit

Real-world example, using shortcuts and no comments

λ Prompt: Photograph of a moonlit meadow in a mythical forest/f λ Prompt: λ Prompt: /a/s λ Prompt: Stunning photograph of a moonlit meadow in a mythical forest, godrays/r/f λ Prompt: /a/s λ Prompt: /quit

I don't have enough VRAM:

You can pass the --offload-cpu flag to offload parts of the model to the CPU for lower VRAM usage with a small performance hit. Sadly this doesn't seem to work with MPS. If anyone knows why, please let me know!

I wanna use the CPU (for whatever reason):

You can pass the --force-cpu flag to force CPU inference. This is not recommended, as it's much slower than MPS or CUDA.

High resolution images are broken

FLUX.1 has a maximum resolution of 2MP. These are roughly the largest possible sizes²:

• 1:1 exact 1448 x 1448, rounded 1408 x 1408
• 3:2 exact 1773 x 1182, rounded 1728 x 1152
• 4:3 exact 1672 x 1254, rounded 1664 x 1216
• 16:9 exact 1936 x 1089, rounded 1920 x 1088
• 21:9 exact 2212 x 948, rounded 2176 x 960

You can use an upscaler (not included) to increase the resolution.