TensorArt has just introduced the Stable Diffusion 3.5 Medium Turbo (SD3.5M Turbo), a text-to-image model derived from StabilityAI’s stable-diffusion-3.5-medium framework. This model prioritizes both stability and efficiency, making it an invaluable tool for artists and creators alike. The TensorArt Stable Diffusion 3.5 Medium Turbo is designed to deliver powerful performance in generating images with remarkable clarity and detail. It has the ability to generate high-quality images across diverse artistic styles.
Table of contents
Key Features of TensorArt Stable Diffusion 3.5 Medium Turbo
1. Turbo Performance
One of the most impressive aspects of the SD3.5M Turbo is its turbo performance. This model significantly enhances image generation speeds, allowing outputs to be produced in as few as 8 steps. When configured optimally, it boasts the ability to accelerate image creation up to eight times faster than its predecessor. This remarkable efficiency is crucial for artists and developers who require rapid prototyping and iteration during their creative processes.
2. High-Resolution Outputs
The SD3.5M Turbo model is not just fast; it also excels in producing high-resolution outputs. With the capability of generating images at 1440×1440 resolution, the model ensures that every detail is captured with exceptional clarity. This high level of detail is essential for professional-grade artwork, enabling artists to create visually stunning images that stand out in any portfolio.
3. Versatile Styles
Artistic versatility is another hallmark of the TensorArt Stable Diffusion 3.5 Medium Turbo. The model supports a wide range of artistic styles, encompassing everything from photorealistic imagery to abstract art. This adaptability allows users to explore various creative avenues, making it an ideal choice for artists. Whether you are aiming for realism or experimenting with abstract concepts, the SD3.5M Turbo has you covered.
Architectural Details of Stable Diffusion 3.5 Medium Turbo
The underlying architecture of the Stable Diffusion 3.5 Medium Turbo is built upon the advanced MMDiT-X architecture. This framework incorporates sophisticated training methods that significantly improve image quality and adherence to prompts. With an impressive 2.5 billion parameters, the model is designed to operate efficiently on consumer-grade hardware, requiring only 9.9 GB of VRAM to unleash its full potential. The enhanced architecture of the SD3.5M Turbo contributes directly to its performance. By leveraging advancements in training methodologies, the model is capable of producing higher-quality images while maintaining fidelity to user prompts.
Optimal Usage Parameters
To maximize the potential of the SD3.5M Turbo model, users should adhere to specific optimal usage parameters. The recommended resolution settings range from 1024×1024 to 1440×1440, ensuring that the model operates at its best. Utilizing the Euler sampler with a Beta scheduler is advised, as this combination enhances image quality and generation efficiency. The number of steps should be set to 8, while the CFG scale can be adjusted between 1.0 and 1.5. It is also suggested that users leave negative prompts blank or restrict them to simple descriptions, allowing the model to generate outputs without unnecessary constraints.
Integration with LoRA
To further enhance the capabilities of TensorArt’s Stable Diffusion 3.5 Medium Turbo, users should consider the integration with LoRA models that have been trained on the SD3.5 framework. This combination increases the model’s versatility. Furthermore, TensorArt Studio is in the process of developing an adapted ControlNet model. This forthcoming advancement aims to provide users with greater control over image generation, promising even more exciting possibilities for artistic creation.
How to Use the Model
Before utilizing the model, ensure that you have Python 3.8+, PyTorch 2.0+ and required libraries such as diffusers. To get started, users need to download the latest versions of the model’s checkpoint or LoRA files. The following links provide access to the required files:
- SD3.5M Checkpoint: sd3.5m_turbo.safetensors
- SD3.5M LoRA: lora_sd3.5m_turbo_8steps.safetensors
To load and use the model, follow the detailed instructions provided in the repository. Additionally, you can utilize the model in ComfyUI by using the workflows provided, such as comfyui_ckpt and comfyui_lora.
GGUF Variants
Concluding Remarks
The TensorArt Stable Diffusion 3.5 Medium Turbo (SD3.5M Turbo) stands as a remarkable tool for anyone looking to explore the realms of image generation. With its impressive features, user-friendly integration, and high-quality outputs, it can revolutionize the creative process for artists of all levels. Whether you are seeking to create intricate works of art or simply wish to experiment with various styles, this model will undoubtedly serve you well.
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