★About this version:
⋆Increased dataset to 60k (4x more than v1)
⋆Improved training used (now uses A100 80gb)
⋆Update the scoring of quality tags
Improved stability
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Introducing Rae Diffusion XL , an enhanced iteration based on the Animagine XL 3.1 model, specifically fine-tuned for generating stunning anime-style artwork. Rae Diffusion XL is meticulously optimized to excel in depicting anime characters, pushing the boundaries of creativity
★Tag Ordering:
✱For optimal results, it's recommended to follow the structured prompt template because we train the model like this:
"1girl/1boy, (character name, from which series), (everything else in any order)"
★Recommended settings;
✱Positive prompts:
“masterpiece, best quality, very aesthetic, absurdres”
✱Negative prompts:
“(low quality, worst quality:1.2), very displeasing, ugly, poorly drawn, signature, watermark”
✧CFG: 7
✧Sampling steps: 25 to 35
✧Sampler: Euler a
★Supported Resolution:
1024 x 1024, 1152 x 896, 896 x 1152, 1216 x 832, 832 x 1216, 1344 x 768, 768 x 1344, 1536 x 640, 640 x 1536
★https://civitai.com/models/506641?modelVersionId=594531★
