Instructions to use argmaxinc/mlx-FLUX.1-schnell-4bit-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- DiffusionKit
How to use argmaxinc/mlx-FLUX.1-schnell-4bit-quantized with DiffusionKit:
# Pipeline for Flux from diffusionkit.mlx import FluxPipeline pipeline = FluxPipeline( shift=1.0, model_version=argmaxinc/mlx-FLUX.1-schnell-4bit-quantized, low_memory_mode=True, a16=True, w16=True, )
# Image Generation HEIGHT = 512 WIDTH = 512 NUM_STEPS = 4 CFG_WEIGHT = 0 image, _ = pipeline.generate_image( "a photo of a cat", cfg_weight=CFG_WEIGHT, num_steps=NUM_STEPS, latent_size=(HEIGHT // 8, WIDTH // 8), )
- MLX
How to use argmaxinc/mlx-FLUX.1-schnell-4bit-quantized with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-FLUX.1-schnell-4bit-quantized argmaxinc/mlx-FLUX.1-schnell-4bit-quantized
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
update readme (#3)
Browse files- add readme to match the other flux model (ebf52e2feab7713b4338719de54d145c4b3c4236)
- update model_version and add note (9a7ac868f3e2533f21875c90200671b03e34caff)
Co-authored-by: Arda Atahan Ibis <ardaatahan@users.noreply.huggingface.co>
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---
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library_name: mlx
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language:
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- en
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license: apache-2.0
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tags:
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- text-to-image
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- image-generation
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- flux
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- diffusionkit
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---
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# FLUX.1-schnell on DiffusionKit MLX!
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## Check out the [original model](https://huggingface.co/black-forest-labs/FLUX.1-schnell)!
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## Check out the [DiffusionKit](https://github.com/argmaxinc/DiffusionKit) github repository!
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![FLUX.1 [schnell] Grid](./flux_on_mac.png)
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Note: This checkpoint features 4-bit quantization of the mmdit module using MLX's nn.quantize function with default settings (group_size=64).
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# Usage
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- ## Create conda environment
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```shell
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conda create -n diffusionkit python=3.11 -y
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conda activate diffusionkit
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pip install diffusionkit
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```
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- ## Run the cli command
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```shell
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diffusionkit-cli --prompt "detailed cinematic dof render of a \
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detailed MacBook Pro on a wooden desk in a dim room with items \
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around, messy dirty room. On the screen are the letters 'FLUX on \
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DiffusionKit' glowing softly. High detail hard surface render" \
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--model-version argmaxinc/FLUX.1-schnell-4bit-quantized \
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--height 768 \
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--width 1360 \
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--seed 1001 \
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--step 4 \
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--output ~/Desktop/flux_on_mac.png
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```
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