For best outputs:
Sampler: DPM++ 2M Karras.
Steps: 35, cfg 4 ~ 6, CLIP skip 2.
VAE: kl-f8-anime2_fp16.safetensors (optional).
Pos prompt: just what you want to see. The model listens well, but you may need big weights when it comes to solo persons, specially with a 768 x 768 resolution. To solve, change to 512 x 768. Use the LoRa "add_detail" with a weight of 1 at the end of your pos (included in my example runs).
Neg prompt: "ng_deepnegative_v1_75t, easynegative, FastNegativeV2, cross-eyed, bad anatomy, (worst quality:2), (low quality:2), nudity", being the embeddings "ng_deepnegative_v1_75t", "easynegative" and "FastNegativeV2" found in my example runs.
Checkpoint Trained.
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For best outputs:
Sampler: DPM++ 2M Karras.
Steps: 35, cfg 4 ~ 6, CLIP skip 2.
VAE: kl-f8-anime2_fp16.safetensors (optional).
Pos prompt: just what you want to see. The model listens well, but you may need big weights when it comes to solo persons, specially with a 768 x 768 resolution. To solve, change to 512 x 768. Use the LoRa "add_detail" with a weight of 1 at the end of your pos (included in my example runs).
Neg prompt: "ng_deepnegative_v1_75t, easynegative, FastNegativeV2, cross-eyed, bad anatomy, (worst quality:2), (low quality:2), nudity", being the embeddings "ng_deepnegative_v1_75t", "easynegative" and "FastNegativeV2" found in my example runs.
Checkpoint Trained.
