Instructions to use argmaxinc/mlx-stable-diffusion-3-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- DiffusionKit
How to use argmaxinc/mlx-stable-diffusion-3-medium with DiffusionKit:
# Pipeline for Stable Diffusion 3 from diffusionkit.mlx import DiffusionPipeline pipeline = DiffusionPipeline( shift=3.0, use_t5=False, model_version=argmaxinc/mlx-stable-diffusion-3-medium, low_memory_mode=True, a16=True, w16=True, )
# Image Generation HEIGHT = 512 WIDTH = 512 NUM_STEPS = 50 CFG_WEIGHT = 5 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-stable-diffusion-3-medium with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-stable-diffusion-3-medium argmaxinc/mlx-stable-diffusion-3-medium
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Update README.md
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README.md
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inference: false
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language:
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inference: false
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language:
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---
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# Stable Diffusion 3 Medium on DiffusionKit MLX!
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## Check out the [original model](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers)!
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## Check out the [DiffusionKit](https://github.com/argmaxinc/DiffusionKit) github repository!
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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 'SD3 on \
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DiffusionKit' glowing softly. High detail hard surface render" \
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--model-version argmaxinc/mlx-stable-diffusion-3-medium
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--height 768 \
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--width 1360 \
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--seed 1001 \
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--step 50 \
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--cfg 7 \
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--output ~/Desktop/sd3_on_mac.png
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```
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