If you appreciate the work I have done, I kindly request that you take a moment to provide your feedback. Your input holds significant value for me and will contribute to the enhancement of my future endeavors.Available on <a target="_blank" rel="ugc" href="https://tensor.art/models/677539934552358034?source_id=nzy3r1nrkkezpfQiYH_x9hcl">Tensor.art</a><a target="_blank" rel="ugc" href="https://tensor.art/models/668750168016887195?source_id=nzy3r1nrkkezpfQiYH_x9hcl"> </a>with Free GPU acceleration Recommended parameters for both versions are almost the same as before, with a few improvements and changes.Achieving super high-quality images with super low steps and CFG Scale is actually really challenging. I performed countless experiments, and each time, I didn’t achieve what i wanted.So, I decided to improve the previous version. Now, this version is pretty good. With in 8-10 steps and 4-5 CFG Scale, you will get results comparable to the normal SDXL with 30-40 steps.✅ Recommended Parameters ✅<ul><li>Refiner: Not required for this model.</li><li>VAE: Use the SDXL VAE.</li><li>Sampling Method: DPM++ 2M Karras is effective with 8 steps or more.</li><li>Sampling Steps: Start with 8, can increase to 16. Safe starting point is below 7/10. For Euler Sampling Method, 4/5 steps work well.</li><li>CFG Scale: Optimal range is 3 to 6. A setting of 4/5 has proven effective.</li><li>Hires Steps: Recommended between 4 and 10.</li><li>Denoising Strength: Ideal range is 0.1 to 0.5.</li></ul>Check out more of my exclusive models!<ul><li><a target="_blank" rel="ugc" href="https://tensor.art/u/621919760178914573">tensor.art</a></li></ul>Join my community, Share your feedback, learn, and have fun with us! 😊<ul><li><a target="_blank" rel="ugc" href="https://discord.gg/QQKd7bu97P">Discord</a></li></ul>

Hyperreal Surrealist - Turbo Edition

Please Note: As this model is still under development, you may encounter occasional imperfections or inconsistencies in the generated images.Feedback and Contribution: We welcome your feedback and suggestions as we strive to refine this model. Please share your experiences and provide any insights that could help us enhance its capabilities.

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