AI Model Recommendations

This guide provides a list of recommended AI models, VAEs, ControlNets, and LoRAs specifically for generating high-quality, realistic PBR textures with the AI Generation Job. The right combination of these assets can significantly improve the detail, realism, and consistency of your materials.

Note: Workflows and models are generally not cross-compatible between Stable Diffusion 1.5 (SD 1.5) and SDXL. Ensure the models you choose match the base model of your selected workflow.

1. Main Models (Checkpoints)

The Main Model is the foundation of your generation. For PBR textures, you want a model that excels at photorealism and fine detail.

1.1 Notable Mentions for Stylized Textures

While the models above focus on realism, the following checkpoints are excellent for creating stylized, hand-painted, or non-photorealistic (NPR) textures suitable for games like Valorant, Fortnite, or Genshin Impact.

2. Custom VAEs

A VAE (Variational Autoencoder) translates the AI's internal "latent" image into the final pixel image. A good VAE prevents washed-out colors and enhances fine details.

3. Upscale Models

An upscaler increases the resolution of your generated image. These models are generally compatible with both SD 1.5 and SDXL outputs.

4. ControlNet Models

ControlNet models are essential for guiding the generation process to create specific structures. You must use ControlNet models that match your base model version (SD 1.5 or SDXL).

ControlNet Models (for SD 1.5)

ControlNet Models (for SDXL)

5. LoRAs for PBR Texturing

LoRAs (Low-Rank Adaptations) are small files that inject a specific style or concept. They are not cross-compatible; a LoRA made for SD 1.5 will not work with an SDXL model, and vice-versa.

You can find these and many more LoRAs on websites like Civitai. Remember to check which base model (SD 1.5 or SDXL) they were trained on.