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CyberRealistic Classic is a more unrestricted version of CyberRealistic that offers the same freedom and flexibility. It serves as an experimental platform for testing new features and concepts that haven't been integrated into the original CyberRealistic. Essentially, it functions as a fully operational alternative edition of CyberRealistic.
Recommended Settings
Sampling method: DPM++ SDE Karras / DPM++ 2M Karras
VAE: is already Baked In
Sampling steps: 30 Steps
Resolution: 512x768
CFG: 5-7
Upscale: 2x
Upscaler: 4x_NickelbackFS_72000_G
Denoising strength: 0.3-0.35Example Negative prompts
watermark, text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, fused hand, missing hand, disappearing arms, disappearing thigh, disappearing calf, disappearing legs, fused fingers, abnormal eye proportion, abnormal hands, abnormal legs, abnormal feet, abnormal fingersless tokens:
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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Description
I apologize for the version that was uploaded a few days ago, it had some mistakes.
FAQ
Comments (7)
Hi, Cyberdelia, thank you for these ever more fantastic models, but I don't quite understand the difference between the "classic" versions and the latest version 3.3.
I regularly compare the 2 versions and I don't really see the differences. Even if I do, it's as if I'd put in another seed and nothing more.
the atmosphere and results are very similar.
Can you give me more details please?
Perhaps I can clarify the presence of two different versions. These models are based from different bases, ultimately culminating in a final model. Initially, the differences between these models were more pronounced compared to their current state. Nonetheless, from my perspective, they remain distinct. Maybe you can see them as alternative versions.
@Cyberdelia ok, thanks for your quick reply.
But can you be more precise? Where do the differences come from?
@Suzanne The differences would come from using two different models as the base from the ground up. I'm assuming that they've been trained on similar data since then. When I use one beside the other and use the same seed I get results that are certainly similar but not the same.
@hollaman yes, I've noticed that too
Thank you
@hollaman @Suzanne correct. I'm currently working on a new version that utilizes distinct 'data,' resulting in varying outcomes.
@Cyberdelia SDXL version ?










