If you want to use more my checkpoint online generation, please visit here.<a target="_blank" rel="ugc" href="https://tensor.art/u/762555264535746522">https://tensor.art/u/762555264535746522</a><hr /><h2 id="v-pred-04">V-pred-04</h2>Data balancing and adjustment have been made, and some background logic has been optimized<h3 id="recommended-settings:">Recommended settings:</h3>Steps: 30CFG scale: 5-7Sampler: Euler aPositive Prompt<pre><code>,masterpiece,best quality,newest,absurdres,highres,very awa, </code></pre>Negative Prompt<pre><code>low quality,worst quality,normal quality,text,jpeg artifacts,bad anatomy,old,early,copyright name,watermark,artist name,signature,</code></pre><hr /><h2 id="v-pred-02">V-pred-02</h2><h3 id="the-stability-of-the-limbs-with-the-overall-color-leaning-towards-a-warmer-tone.">The stability of the limbs, with the overall color leaning towards a warmer tone.</h3>v-prediction versions are experimental models.You need to use the webui that support v-prediction.<ul><li>ComfyUI</li><li>reForge</li><li>Forge</li><li>AUTOMATIC1111 (dev branch)</li></ul><ul><li>Use Hires. fix (The situations where ADetailer is needed are not many)</li><li>Style and Character reference NOOB</li></ul>All example images are generated at 1024x1360,and Hires upscale: 1.5, Hires steps: 20, Hires upscaler: R-ESRGAN 4x+ Anime6B,Denoising strength: 0.5.<h3 id="recommended-settings:">Recommended settings:</h3>Steps: 30CFG scale: 5-7Sampler: Euler aPositive Prompt<pre><code>,masterpiece,best quality,newest,absurdres,highres,very awa, </code></pre>Negative Prompt<pre><code>low quality,worst quality,normal quality,text,signature,jpeg artifacts,bad anatomy,old,early,copyright name,watermark,artist name,signature,</code></pre><hr /><h2 id="v-pred-01">V-pred-01</h2>BASE:NOOB V-pred 1.0This is a test model, attempting to use some unconventional methods to achieve merging.The merging materials used are not purely from the v-prediction model, so there may be issues that I'm unaware of. If there are any, please leave me a message.v-prediction versions are experimental models.You need to use the webui that support v-prediction.<ul><li>ComfyUI</li><li>reForge</li><li>Forge</li><li>AUTOMATIC1111 (dev branch)</li></ul><ul><li>Use Hires. fix (The situations where ADetailer is needed are not many)</li><li>Style and Character reference NOOB</li></ul>All example images are generated at 1024x1360,and Hires upscale: 1.5, Hires steps: 20, Hires upscaler: R-ESRGAN 4x+ Anime6B,Denoising strength: 0.5.<h3 id="recommended-settings:">Recommended settings:</h3>Steps: 30CFG scale: 7Sampler: Euler aPositive Prompt<pre><code>,masterpiece,best quality,newest,absurdres,highres,very awa, </code></pre>Negative Prompt<pre><code>low quality,worst quality,normal quality,text,signature,jpeg artifacts,bad anatomy,old,early,copyright name,watermark,artist name,signature,</code></pre><hr /><h2 id="v2">V2</h2>BASE:NOOB eps 1.1Try to ensure image quality without using quality keywords, in order to create a model that can be easily used by beginners.<ul><li>Not very necessary to use Positive and Negative quality Prompt</li><li>Use Hires. fix (The situations where ADetailer is needed are not many)</li><li>Style and Character reference NOOB</li></ul>All example images are generated at 1024x1360,and Hires upscale: 1.5, Hires steps: 20, Hires upscaler: R-ESRGAN 4x+ Anime6B,Denoising strength: 0.5.NO Positive and Negative quality TAG<h3 id="recommended-settings:">Recommended settings:</h3>Steps: 30CFG scale: 5.5Sampler: Euler a<hr /><h3 id="v1">v1</h3><h3 id="recommended-settings:">Recommended settings:</h3>Steps: 28-35CFG scale: 5-7Sampler: Euler aPositive Prompt<pre><code>,masterpiece,best quality,newest,</code></pre>Negative Prompt<pre><code>low quality,worst quality,normal quality,text,signature,jpeg artifacts,bad anatomy,old,early,copyright name,watermark,artist name,signature,</code></pre>

WAI-SHUFFLE-NOOB

waiSHUFFLENOOB_ePred10.safetensors

Ayase Momo [DanDaDan] [Illustrious]

Glory Wall [Illustrious]

E-pred-1.0

v-pred-04

V-pred-03

v-pred-2.0

v-pred-1.0

E-pred-2.0

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