mo-di-diffusion on Hugging Face

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Inputs: textOutputs: image

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About mo-di-diffusion on Hugging Face

Mo Di Diffusion is a fine-tuned version of Stable Diffusion 1.5, hosted on Hugging Face, that has been trained on screenshots from a popular animation studio to generate images in a modern Disney-inspired style. The model is designed for text-to-image generation and can be used with the diffusers library, supporting standard Stable Diffusion pipelines. It is available under the CreativeML OpenRAIL-M license, which permits commercial use and redistribution with certain restrictions. The model card provides example prompts and settings for generating characters, animals, cars, and landscapes in the distinctive style, using the trigger phrase "modern disney style" in prompts. The model is part of the broader Hugging Face ecosystem and can be deployed via Gradio, Colab, or custom code.

Key Features

Fine-tuned on screenshots from a popular animation studio for a modern Disney aesthetic

Based on Stable Diffusion 1.5 architecture

Uses the trigger phrase "modern disney style" in prompts

Supports standard StableDiffusionPipeline from diffusers

Open access with CreativeML OpenRAIL-M license allowing commercial use

Can be exported to ONNX, MPS, and FLAX/JAX formats

Community support with over 950 likes and 32 community members on Hugging Face

Pros & Cons

Pros

Produces images with a distinctive modern Disney style based on the training data
Open access model with a permissive license allowing commercial use
Can be used with standard Stable Diffusion tools and pipelines
Active community on Hugging Face with shared examples and support
Supports various export formats for different deployment needs

Cons

Requires technical knowledge to set up and run (Python, diffusers, GPU recommended)
Output quality and style consistency may vary depending on prompt and settings
Free tier usage on Hugging Face may have limitations; deployment via Inference Providers is not yet available
Model is based on Stable Diffusion 1.5, which may have lower resolution and detail compared to newer versions
License requires sharing a copy of the CreativeML OpenRAIL-M with users if redistributed commercially

Best For

Generating character art in a modern Disney-inspired styleCreating stylized animal illustrationsProducing concept art for cars and landscapes with a Disney aestheticRendering video game characters with a modern Disney lookArtistic experimentation and content creation for personal or commercial projects

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FAQ

What is Mo Di Diffusion?

Mo Di Diffusion is a fine-tuned version of Stable Diffusion 1.5 trained on screenshots from a popular animation studio to generate images in a modern Disney-inspired style.

How do I use the model?

You can use the model with the diffusers library in Python. Include the trigger phrase 'modern disney style' in your prompts. Example code is provided in the model card.

Is the model free to use?

The model is open access under the CreativeML OpenRAIL-M license, which allows free use for personal and commercial purposes, subject to the license terms. However, running the model may require computational resources that could incur costs.

Can I use the model commercially?

Yes, the CreativeML OpenRAIL-M license permits commercial use and redistribution, provided you include the same use restrictions and share a copy of the license with your users.

What are the system requirements?

The model is designed to run with PyTorch and diffusers on a GPU with CUDA support. A system with at least 8GB of VRAM is recommended for reasonable performance.

Does the model support other output formats?

Yes, the model can be exported to ONNX, MPS, and FLAX/JAX formats for deployment on different platforms.