This series is focused on women and the female body, in every kind of setting or style. It can do fine art, social media style, surrealism, cinematic, and pornographic very well. The main goal is to have as much diversity as possible in an SDXL checkpoint. Diversity in ethnicity, body type, faces, posing, personality, and locations.If you like it post your creations!## Any yellow buzz support is appreciated. I'm low on resources needed to assist with developing new models. Even just downloading the next early release is helpful. Thank you. <a target="_blank" rel="ugc" href="https://whop.com/irasciblexl/tip-me-51/">Tip Me</a>Donations to my Whop account will exclusively go towards hardware upgrades. Civitai Buzz will be used for site generation and promotions.Upgrading my local hardware is my on-going goal so I can train locally.Local training is imperative today. With Ai data centers there will be a vast drain on resources in the areas they operate. Since model &amp; lora training will no doubt be hosted in the new centers, I want to be able to run locally only. The moment my Ai hobby causes actual harm, on any scale, is when I start collecting stamps instead.<h3 id="general-prompt-guide">General Prompt Guide</h3>Weights in my prompts are primarily for testing the model's capabilities and trying to uncover limitations during test generation. However, I've created the tutorial below to help understand how model weights can be used more effectively.<h3 id="positive-attention">Positive Attention</h3><ul><li>Weights between 0.5 &amp; 2.0 are usually sufficient.</li><li>I sometimes use weights between 2.0 &amp; 3.0 when I want to force attention to a specific ethnicity for testing.</li><li>Higher weights are also helpful when you want to magnify size or specific details. The difference between: large breasts, (large breasts:1.2), &amp; (large breasts:1.8) is obvious.</li></ul>Recognized weights are usually -5.0 to 5.0 with Dynamic Prompts.<h3 id="attention-equation">Attention Equation</h3>The parentheses ( ) on their own adds attention weight of 1.1. Unless you specify a weight.<ul><li>(hyper-realistic) = 1.1</li><li>((hyper-realistic)) = 1.21</li><li>((hyper-realistic:1.3)) = 1.43</li></ul>Brackets [ ] are negative attention weight of 0.91, not negative weight, it's just attention that starts under the 1.0 default of all words without weights. Stacking them decreases that number.<ul><li>[deep shadows] = 0.91</li><li>[[deep shadows]] = 0.81</li><li>[[[deep shadows]]] = 0.72</li></ul><h3 id="negative-attention">Negative Attention</h3><ul><li>Weights over 3.5 are not usually effective or are a detriment during tokenization.</li><li>Negative weights do not have much effect in prompts.</li><li>Using too many high weights in the same prompt can cause distortions &amp; deformities.</li><li>Using high weights will give specific keywords more attention, but that is often at the expense of other keywords.</li></ul><h3 id="bonus">Bonus</h3>Prompt with high weights:<pre><code>(HDR:2.2), cinematic, (natural sunlight:1.23), (hyper-realistic:1.45), (full body shot:0.6), masterpiece, incredible details, [feeling of solitude], mysterious, (deep shadows:0.72), Beautiful (30yo Malaysian woman:2.52), hazel hair, (mid_length grungy hairstyle :1.43), (natural large breasts:1.6), (wearing an unbuttoned stylish silk shirt), (brown pearl g-string, leather lace sandals:1.41), (sexy pose, reclining slightly on elbow:1.68) on a stunning designer wicker couch, at a rustic beach house rooftop with driftwood furniture, seashell decor, a view of the ocean, perfect for casual summer parties, sensual atmosphere, beautiful, guilty pleasure, shot on Canon EOS 5D, RAW.</code></pre><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/35564218-1005-48bc-a1be-715f2e6514ed/original=true/35564218-1005-48bc-a1be-715f2e6514ed.jpeg" /><hr /><hr />Prompt without high weights:<pre><code>(HDR:0.86), cinematic, (natural sunlight:0.8), (hyper-realistic), (full body shot:0.6), masterpiece, incredible details, feeling of solitude, mysterious, (deep shadows:0.72), Beautiful (30yo Malaysian woman:1.32), hazel hair, (mid_length grungy hairstyle), (natural large breasts), (wearing an unbuttoned stylish silk shirt), (brown pearl g-string, leather lace sandals), (sexy pose, reclining slightly on elbow:1.12) on a stunning designer wicker couch, at a rustic beach house rooftop with driftwood furniture, seashell decor, a view of the ocean, perfect for casual summer parties, sensual atmosphere, beautiful, guilty pleasure, shot on Canon EOS 5D, RAW.</code></pre><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0e6c4ec9-6392-465b-9af8-318c4a4126cd/original=true/0e6c4ec9-6392-465b-9af8-318c4a4126cd.jpeg" /><h3 id="to-force-clip-and-vae-in-fp32">To force clip &amp; vae in FP32</h3><h3 id="forge:">Forge:</h3><pre><code>./webui.sh --clip-in-fp32 --vae-in-fp32 --no-half-vae</code></pre>(or add the commands to your webui-user.bat (Windows) or webui-user.sh (Linux) in<pre><code>COMMANDLINE_ARGS= --clip-in-fp32 --vae-in-fp32 --no-half-vae</code></pre>For all commands (many are obsolete now since the developers have made them default)<a target="_blank" rel="ugc" href="https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Command-Line-Arguments-and-Settings#all-command-line-arguments">https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Command-Line-Arguments-and-Settings#all-command-line-arguments</a><h3 id="comfy:">Comfy:</h3><pre><code>python main.py --fp32-text-enc --fp32-vae</code></pre>I don't use Comfy, so this is what I've seen on the web. Here is a link to all commands:<a target="_blank" rel="ugc" href="https://gist.github.com/ravetank/cedcd1ea89738b2e79b9f01e45a1a03d#file-comfyuihelp-txt">https://gist.github.com/ravetank/cedcd1ea89738b2e79b9f01e45a1a03d#file-comfyuihelp-txt</a><h3></h3>

Reality BoundXL

Settings I use:DPM++ 3M SDE Karras35 Steps3 CFG

realityBoundxl_ultimaV19.safetensors

Ultima v19

Boundless v18

Unbridled v17

Feisty v16

Clover v15

Axiom v14

Climax V13

Indigo Bold v12

Indigo RAW v11

soulGrip v10

kissShot v9

faceSmash v8.0

faceSmash v8

v7.1 FP32Clip

gutPunch V7

next v6.0

v5.0

v4.0 fullybound

v3.0

ribaldVassalage v2.0

v1.1

v1.0

Files with SHA256: 91acd523040087b06f60bfe2e8ff5e61e6694c9f54db45c9a3cd7973009db21c