Stable Diffusion 3.5 Medium: Features and Community Adoption

Stable Diffusion 3.5 Medium is poised for strong community adoption due to faster generation and improved image quality.

### Stable Diffusion 3.5 Medium: Community Adoption and Performance Insights
* 🤖 The SD 3.5 Medium model shows promise for adoption by the open-source community, potentially allowing it to **compete with Flux** due to its ability to **generate 1440x1440 images natively** and **faster inference speeds**.
* ⚙ The model has a token limit of around **500**, which is important to note as exceeding the **256 token limit** can lead to breakdowns in adherence and additional artifacts in the output.
* 📊 There are two downloadable models: one without text encoders at just over **5 GB**, and another provided by Comfy that includes text encoders at approximately **11.5 GB**.
* 🎨 In terms of output quality, the prompt adherence is strong regarding **color and contrast**, although improvements are still needed for **hand rendering**.
* 🖼 Compared to Flux, SD 3.5 Medium excels in **photorealism and skin textures**, although text generation remains **less coherent than the large model**, requiring **multiple generations for satisfactory results**.
* 🛠 The introduction of the SLG workflow with a **skip layer guidance node** may help improve **anatomical accuracy**, particularly in problematic areas like **legs**, although it is not a complete solution.
* 💻 Performance tests on a Ryzen 5800 X show varying inference times, with **1440x1440 images taking around 1 minute and 36 seconds to generate**, highlighting the model's **efficiency despite its smaller size**.
* 🔗 Stability AI has successfully released the SD 3.5 Medium model, which is smaller at **2.5B parameters**, and offers **dual attention blocks** in the first 12 Transformer layers, enhancing **context length for prompt processing**.

Stable Diffusion 3.5 Medium Smaller & Faster!

Monzon Media

5 has been released by Stability AI, featuring a smaller file size and faster generation times.

The model's native resolution is 1440, allowing for larger image generation.

It also incorporates dual attention blocks in the first 12 Transformer layers, enabling a context length of about 256 tokens for prompt breakdown.

The model sampling node is connected to the output, with recommended settings of 30 to 40 steps, starting at CFG 4.

The Oiler beta and simple samplers work well for inference speed on a Ryzen 5800 X with 32 GB of RAM and a 3060 TI.

Different datasets for large and medium models result in varying outputs, with the large model leaning towards photo realism.

1/2B model shows good prompt adherence, with decent hand representation and better photo realism compared to the larger model.

Text coherency is lacking, requiring multiple generations for decent results.

The new SLG workflow, with an additional node for skip layer guidance, may help improve anatomy deformities.

5 medium's open-source model is expected to gain traction for training and luras, potentially competing with Flux.

The model offers native 1440 by 1440 image generation and quicker inference speeds.

It has a token limit similar to Flux, with two downloadable models available: one at just over 5 GB and the other, provided by Comfy, at 11.