<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">📘 I’m preparing documentation on creating models using unique methods. <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">🎁 Active users of my models will receive it for free. <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Follow and share your creations.BRAVO - Foresight Protocol MK2⭐ Excellent results with: <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Schedule type: Beta <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Sampling method: Euler a, DPM++ 2M, DDIM, Heun, DPM++ SDE <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">CFG Scale: 5-7, <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Sampling steps: <span style="background-color:rgb(26, 27, 30);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">40+_________________________________________________________________________This refined version excels with detailed and high-quality prompts, allowing the model to unleash its full potential for concept-driven images.<h3 id="achieving-optimal-realism">📸 Achieving Optimal Realism</h3>For maximal image quality and cinematic depth, two additions are mandatory in your prompt:<ul><li>Film Emulation and Optics: Always specify your desired film stock and lens focal length (e.g., Kodak Portra 400, 85mm f/1.4 lens).</li></ul>Crucially, ensure success by strictly applying the validated negative prompt:<pre><code>low quality, normal quality, lowres, washed out, overprocessed, jpeg artifacts, aliasing, pixelation, noise, blurry, soft focus, motion blur, out of focus, compression artifacts, flat colors, flat lighting, flat shadows, flat tone, unnatural lighting, uneven lighting, overexposed, underexposed, harsh shadows, excessive contrast, unbalanced tone, color banding, posterization, unrealistic materials, waxy skin, cg render, cgi, 3d model, video game style, toon shading, anime style, doll-like, drawing, illustration, concept art, digital art, stylized art, oversharpen, oversaturated colors, desaturated, distorted perspective, wrong scale, texture stretching, tiling, artificial bokeh, chromatic aberration, vignetting, excessive reflection, mirror artifacts, low dynamic range, lack of depth, poor composition, bad focus, unrealistic shadow direction, duplicate faces, double eyes, mismatched lighting, lack of microtexture, lack of tone balance, color noise.</code></pre><hr /><h3 id="pro-tip:-prompt-engineering-for-excellence">💡 Pro-Tip: Prompt Engineering for Excellence</h3>Crafting highly detailed and effective prompts requires significant effort. We strongly recommend leveraging a large language model (LLM) for assistance.Based on extensive testing with this model, Gemini consistently excels, achieving over 90% excellent generations on the first attempt. Competitors like ChatGPT and DeepSeek tend to fail more than half the time, showing an effectiveness rate of around 45% for complex prompt creation.Let Gemini help you unlock the true potential of BRAVO - Foresight Protocol MK2.Perhaps the future won’t be as bright as we used to imagine. This model explores post-human scenarios with a focus on survival, isolation, techno-ruins, and adaptation to catastrophe. The style ranges from semi-realistic to artistically muted, featuring expressive portraits and a haunting atmosphere. Optimal generation sizes: 512, 640, 768 — 960 works in specific cases.Enjoyed the model? Drop a couple of buzz — you'll look cool, and I'll be grateful ⚡😊

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