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?@???̒??ʼn摜?i?̐??ݕ\???j??????̂?U-Net?ł??BU-Net?͐??ݕ\???????A????????t?????̊g?U?v???Z?X?i?m?C?Y?????????ĉ摜??????v???Z?X?j?̉??炩?̒i?K?Ŏg????m?C?Y?i?̎c???̐??ݕ\???j?𐄑????܂??B??????g???č쐬?????i?????m?C?Y?????????ꂽ?j?摜?̐??ݕ\????????U-Net?ւ̓??͂ɂȂ?܂??B?t?????̊g?U?v???Z?X???I????āA?ŏI?I?Ɏ?ɓ??ꂽ???ݕ\???͏?LVAE?̃f?R?[?_?[???g?????摜?????Ɏg???܂??B
?@U-Net?͐??ݕ\??????邾???ł͂Ȃ??A?e?L?X?g?G???R?[?_?[???g???ă??[?U?[?????͂????e?L?X?g?ߍ??ݕ\???ɕϊ????????̂????܂??B????ɂ??A??قǂ́ua red dragon flying in the cloud with lightning, Ukiyoe style.?v?̂悤?ȃe?L?X?g?ɂ?萶???????摜?ɑ???????t?????s???܂??B
?@?????ł͗?Ƃ???Hugging Face??????Diffusers?Ɋ܂܂?Ă???Stable Diffusion???g?????߂?StableDiffusionPipeline?N???X?̃R?[?h?????Ă݂܂??B???̃N???X??__call__???\?b?h?ɂ͍??q?ׂ??悤?ȏ????????ۂɍs???Ă??镔????????܂??B???????Ĉȉ??Ɏ????܂??B
for i, t in enumerate(self.progress_bar(self.scheduler.timesteps)):
# ?c?c?ȗ??c?c
noise_pred = self.unet(latent_model_input, t,
encoder_hidden_states=text_embeddings).sample
# ?c?c?ȗ??c?c
latents = self.scheduler.step(noise_pred, t, latents,
**extra_step_kwargs).prev_sample
image = self.vae.decode(latents).sample
?@???̃R?[?h?ɂ?latents??latent_model_input?Ƃ???2?̕ϐ????????܂????A?????͊?{?I?ɂ͓???̂??̂Ő??ݕ\????\???Ă??܂??Blatent_model_input?́AU-Net?iself.unet?j?ւ̓K?ȓ??͂ƂȂ?悤??latents?Ɏ???????????̂??ƍl???Ă????????i?uclassifier free guidance?v?ɂ???@?ʼn摜???????s?????ǂ?????A?T???v?????O?ɂ??m?C?Y???????ǂ̂悤?ɍs?????????肷??u?X?P?W???[???v?ƌĂ??I?u?W?F?N?g?Ƃ??ĉ???I?????????Ȃǂɂ???āAlatents?̓??e?????latent_model_input?̓??e?????܂?܂??j?B
?@????for???[?v?ł͋t?????̊g?U?v???Z?X???s???܂??B???̒??ŁA?unoise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample?v?̂悤?ɂ??Đ????????m?C?Y?̎c?????擾???Ă??܂??B?????āA?ulatents = self.scheduler.step(nlatents = self.scheduler.step(?c?c)?v?s?ł͂??̃m?C?Y???????????摜?i?̐??ݕ\???j???v?Z???āA?????????U-Net?ւ̓??͂Ƃ??Ă??܂??i??̃R?[?h?ł?1?s?ɂ??Ă??܂????A???ۂɂ͐?قǏq?ׂ??X?P?W???[???ɉ???I?????????ŌĂяo???????ς???Ă??܂??j?B
?@???[?v???I???????́A???ɏq?ׂ??ʂ?AVAE?̃f?R?[?_?[???g???Đ??ݕ\????????ۂ̉摜?????Ă??܂??B
?@U-Net?̌Ăяo???́unoise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample?v?̂悤?ɂȂ??Ă??܂????A???̂Ƃ??L?[???[?h????encoder_hidden_states?Ɏw?肵?Ă???̂??A???ߍ??ݕ\???ɕϊ????ꂽ?e?L?X?g?ł??BStable Diffusion?ł͎??O?ɌP???ς݂?CLIP ViT-L/14 text encoder???g?p???ē??͂??ꂽ?e?L?X?g???g?[?N???????A????ɂ???ߍ??ݕ\???ɕϊ????????̂?U-Net?ɓ??͂??Ă??܂??B?ȉ??͏?L?Ɠ????\?[?X?R?[?h?i__call__???\?b?h?j???炱?̏??????o???????̂ł??B?e?L?X?g?G???R?[?_?[?̌??ʂɂ??ẮA?{?A?ڂ̒??Ŏ????Ă݂?\??ł??B
text_input = self.tokenizer(?c?c)
text_embeddings = self.text_encoder(text_input.input_ids.to(self.device))[0]
# ?c?c?ȗ??c?c
latents = ?c?c # latents?̏?????
# ?c?c?ȗ??c?c
for i, t in enumerate(self.progress_bar(self.scheduler.timesteps)):
# ?c?c?ȗ??c?c
noise_pred = self.unet(latent_model_input, t,
encoder_hidden_states=text_embeddings).sample
# ?c?c?ȗ??c?c
?@Stable Diffusion??????P???ς݃??f?????g???ĉ摜??????ۂɂ́A???q?ׂ??悤??VAE?i?̃f?R?[?_?[?j??U-Net?A?e?L?X?g?G???R?[?_?[?i?g?[?N?i?C?U?[?ƃG???R?[?_?[?j???g???܂??B??????}?ɂ܂Ƃ߂????̂??ȉ??ł??B
Stable Diffusion?ʼn摜??????ߒ??@???[?U?[???v?????v?g????͂???ƁA???q?ׂ??悤?ȏ??????o?āA?摜???????????킯?ł??B
?@????́uStable Diffusion?Ƃ͌P???ς݂̃??f???v?uDreamStudio???g???Ă݂?v?uStable Diffusion?̃??f????VAE?AU-Net?A?e?L?X?g?G???R?[?_?[?A?X?P?W???[???ȂǁA???܂??܂ȃp?[?c?ō\??????Ă???v?u???ꂼ??̃p?[?c???֘A???ĉ摜???????????v?Ƃ????????Ƃ????Ă??܂????B
?@????̓??[?J??PC?܂???Google Colab??̃m?[?g?u?b?N????Stable Diffusion?i??Diffusers?j???C???X?g?[?????āA?ŏ??̈???ƂȂ?R?[?h???????Ă݂邱?Ƃɂ??܂??B
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