Stable Diffusion 3 is the best Stable Diffusion model released by Stability AI to date. While the model has some issues, particularly with generating dynamic human poses, it is an incredibly powerful and capable text-to-image model.

The model excels at following detailed prompts, producing high-quality, aesthetically pleasing images. It is particularly adept at generating realistic landscapes, portraits, and 3D renders. Compared to the previous Stable Diffusion Excel model, the quality difference is significant.

However, the model does have some notable limitations. It struggles to accurately depict people in non-upright positions, often producing strange and distorted results. This is likely due to the training data used, which may have been biased towards images of people in more standard poses.

Additionally, the model is heavily censored, with no ability to generate any explicit or NSFW content. While this may not be an issue for some users, it will be a dealbreaker for those who rely on such capabilities.

The model also comes with a non-commercial use license, requiring a $20 per month fee for commercial use. This may be a barrier for some, but the cost is relatively low, especially for businesses generating revenue from the model's output.

Despite these drawbacks, Stable Diffusion 3 is a significant step forward for Stability AI's text-to-image technology. The model's capabilities open up new possibilities for fine-tuning and community-driven improvements. As the community continues to explore and refine the model, we can expect to see even more impressive results in the future.

Although Stable Diffusion 3 is an impressive model and the best Stable Diffusion-based model released by Stability AI, it does have some notable issues:

1. Human Anatomy Generation: The model struggles to generate accurate and natural-looking human anatomy, especially when the subject is in a dynamic pose or not in an upright position. Images of people laying down or in yoga-like poses often result in strange and distorted results.

2. Censorship: Stable Diffusion 3 is the most censored model released by Stability AI. It is unable to generate any explicit or NSFW content, even when prompted. This may be a problem for some users who want more creative freedom.

3. Commercial Licensing: For the first time, the base Stable Diffusion model is under a non-commercial use license. Users who want to generate content for commercial purposes will need to pay a $20 per month license fee if their annual revenue is less than $1 million. This may be a barrier for some creators and businesses.

Despite these issues, Stable Diffusion 3 is still a powerful and impressive model that offers significant improvements over previous Stable Diffusion releases. The community is likely to develop fine-tuned models and workarounds to address the model's limitations in the near future.

Although Stable Diffusion 3 is an impressive model overall, it has faced significant backlash from the community due to some of its limitations. The model struggles with generating human anatomy in dynamic poses or non-upright positions, often resulting in strange and unsatisfactory outputs. This has led to a wave of criticism and disappointment from users.

However, it's important to keep in mind that this is a free, base model released by Stability AI. Previous base models have also faced similar issues, but the community has been able to create amazing fine-tuned models that address these shortcomings. The same is likely to happen with Stable Diffusion 3, as the model's strong performance in other areas, such as landscape and portrait generation, opens up possibilities for future improvements.

While the criticism is understandable, it's important to maintain a balanced perspective. The model's limitations are not necessarily a "skill issue" on the part of users, but rather a reflection of the training data and model architecture. Workarounds, such as the Clocon UI workflow, can be used to generate more dynamic poses, but these are not automatic solutions.

The model's strict content restrictions, which prevent the generation of explicit or NSFW content, may also be a concern for some users. However, this is a deliberate choice by Stability AI, and future fine-tuned models may address this to some extent.

Ultimately, the community's feedback and criticism can be valuable in shaping the future development of Stable Diffusion and other text-to-image models. By acknowledging the model's limitations and working collaboratively, the community can help drive the creation of even more powerful and versatile models in the future.

Although Stable Diffusion 3 Medium has its limitations, particularly in generating dynamic human poses, it represents a significant step forward in the capabilities of text-to-image models. The model's ability to follow detailed prompts and produce high-quality, aesthetically pleasing images opens up a world of possibilities for future fine-tuned models.

As the community continues to explore and experiment with Stable Diffusion 3 Medium, we can expect to see a series of impressive fine-tuned models that address the current shortcomings and push the boundaries of what's possible in text-to-image generation. With the availability of powerful fine-tuning tools, the community can tailor the model to their specific needs, whether it's generating more realistic human poses, expanding the range of subject matter, or enhancing the overall quality of the generated images.

The non-commercial licensing of Stable Diffusion 3 Medium, while a consideration for some, also presents an opportunity for the community to collaborate and develop innovative applications that can benefit the wider public. The relatively low cost of the commercial license also makes it accessible for businesses and organizations looking to leverage the model's capabilities.

As the field of text-to-image generation continues to evolve, we can expect to see Stable Diffusion 3 Medium and its future iterations play a pivotal role in shaping the future of this technology. With the community's creativity and the ongoing advancements in AI, the potential for even more impressive and versatile text-to-image models is truly exciting.