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命令如下,用自带的yongen.jpeg图片能生成眨眼的视频,但用自拍的图片,只能看到眼珠轻微地动,没有眨眼,请问是什么原因啊?
python scripts/inference/text2video.py --sd_model_name fantasticmix_v10 --unet_model_name musev_referencenet --referencenet_model_name musev_referencenet --ip_adapter_model_name musev_referencenet -test_data_path ./configs/tasks/example.yaml --output_dir ./output --n_batch 1 --target_datas charlie --vision_clip_extractor_class_name ImageClipVisionFeatureExtractor --vision_clip_model_path ./checkpoints/IP-Adapter/models/image_encoder --time_size 360 --fps 12
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@NimbleDev 因为模型训练数据比较小,泛化能力不是很高,有的图片生成难度会高些,可以通过prompt强化眨眼,也可以通过调节 img_weight、w_ind_noise来增强图片动作。
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命令如下,用自带的yongen.jpeg图片能生成眨眼的视频,但用自拍的图片,只能看到眼珠轻微地动,没有眨眼,请问是什么原因啊?
python scripts/inference/text2video.py --sd_model_name fantasticmix_v10 --unet_model_name musev_referencenet --referencenet_model_name musev_referencenet --ip_adapter_model_name musev_referencenet -test_data_path ./configs/tasks/example.yaml --output_dir ./output --n_batch 1 --target_datas charlie --vision_clip_extractor_class_name ImageClipVisionFeatureExtractor --vision_clip_model_path ./checkpoints/IP-Adapter/models/image_encoder --time_size 360 --fps 12
The text was updated successfully, but these errors were encountered: