Diaper3_diaper3_5900_0.85-sd15newvaepruned_0.15... -

When you see a filename this long, it’s usually a recipe. Here is how this specific checkpoint was likely cooked:

: This points to the primary "trigger" or LoRA used in the mix. The "5900" usually refers to the step count of the training process, suggesting a well-cooked model that has learned its specific subject matter deeply.

: The remaining 15% of the mix, likely used to stabilize the model and prevent it from "breaking" or producing deep-fried artifacts. Performance and Style diaper3_diaper3_5900_0.85-SD15NewVAEpruned_0.15...

If you want to dive deeper into the technical side, you can find similar models and community discussions on Civitai or Hugging Face . To help me tailor a better post for you, could you share:

: Since it uses the "NewVAEpruned" base, users don't have to worry about selecting a separate VAE in their settings to get clear results. How to Use It When you see a filename this long, it’s usually a recipe

To get the most out of this specific merge, users should stick to the SD 1.5 ecosystem. It works best with standard samplers like or Euler a . Since the model is already weighted heavily toward its specific subject (85%), you may find that you need lower "Prompt Strength" (CFG Scale) settings—somewhere between 5 and 7—to avoid over-saturation. Final Thoughts

Whether you are a researcher looking at how specific concepts are distilled into latent space or a creator exploring niche aesthetics, checkpoints like this one demonstrate the power of the Stable Diffusion community's "open-source" kitchen. It’s all about the mix! : The remaining 15% of the mix, likely

: You get the desired aesthetic without the overhead of multiple network layers.