*Add simple_background to your negative prompt.*I recommend using DPM++ SDE Karras for this model.This checkpoint is a specialized mix I formulated and infused some of my own artwork into. I specifically created it to draw my LoRA <a target="_blank" rel="ugc" href="https://civarchive.com/models/1347929/gays-anatomy">Gay's Anatomy v2</a>. This checkpoint is noisy. That is how I designed it. Noise can be your friend if you use it correctly. You must find something for it do, idle noise is the devil's plaything. Will this model draw other things besides the LoRA it was created for? Yes. I will post a second set of images and pin them to the gallery below. These images will demonstrate my testing of that question and may have revealed some insights into the subject of noise itself. I will create a section below to discuss those implications. We are going to peer into the "soul" of the Stable Diffusion engine itself!.. Why did I make it so damn noisy? I think of noise like the raw stone that a sculptor will use to create his sculpture. Noise is the substance that you and your toolkit carve an image out of. The seed number is the particular stone you start with and this checkpoint is a different type of stone than we usually work with. It's denser. It can be more difficult to carve. It may require more force to chip away at, but this density can be translated into finer detail and it can be used to encourage checkpoints/embeddings/ect to find new fault lines in the stone that they otherwise would not have found when using them with a more porous checkpoint. My discovery of these properties is new. I am learning their facets and how to work with them as an ongoing process. I will share with you what I've learned and my anecdotal working strategies. Use token weights to help push the generation. If your token is not getting drawn, turn it up. You can crank your CFG. You can use LoRAs that are overcooked and tend to melt other checkpoints. The scheduler you use can help polish your image while it generates.I ran some image generation tests using a fresh version of Stable Diffusion, no extensions, no add-ons, completly vanilla, and putting "simple_background" as a negative prompt has fantastic results when using this checkpoint with the Gays Anatomy v2 LoRA."simple_background" was in the caption of at least 90-95% of the dataset images. DPM++ 2M Karras (More detailed and stable)Euler a (Smoother gradients)DPM++ SDE (Less grainy) Prompting can be a great help in conditioning your outputs. smooth shading - clean - coloring - high-quality details - polished textures - even lighting, balanced shadows noisy texture, grainy, rough shading, uneven color, blurryI have no doubt there are many further prompts and techniques that would be useful for this premise. If you use this checkpoint and acquire insights into what works or what doesn't, please share them in the comments below.

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