Training data is a subset of all my manally rated datasets with the quality/aesthetic modifiers, including only the masterpiece
tagged images.
Recommended prompt structure:
(remove score tags for illustrious)
Positive prompt:
{{tags}}
score_9, score_8_up, score_7_up, score_6_up, absurdres, masterpiece, best quality, very aesthetic
Negative prompt:
(worst quality, low quality:1.1), score_4, score_3, score_2, score_1, error, bad anatomy, bad hands, watermark, ugly, distorted, signature
[WAN 1.3B] LoRA (experimental)
Trained with diffusion-pipe on Wan2.1-T2V-14B with the same (image-only) dataset as v2.0-alpha [WAN 14b]
Currently curating a video dataset
Video previews generated with ComfyUI_examples/wan/#text-to-video
Loading the LoRA with LoraLoaderModelOnly node
Recommend following prompting guide for movement to avoid still images/jitter: https://www.comfyonline.app/blog/wan2-1-prompt-guide
Go ahead and upload yours!
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