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・I have utilized BLIP-2 as a part of the training process. Natural language prompts might be more effective.
・I prioritize the freedom of composition, which may result in a higher possibility of anatomical errors.
・The expressiveness has been improved by merging with negative values, but the user experience may differ from previous checkpoints.
・I have uploaded a new Negative Embedding, trained with Counterfeit-V3.0.
There's likely no clear superiority or inferiority between this and the previous embedding, so feel free to choose according to your preference.Note that I'm not specifically recommending the use of this embedding.

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prompt & Setting: https://civitai.com/models/4468/counterfeit-v30 01 02

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Spaces using gsdf/Counterfeit-V3.0 49