[CVPR 2024] Official implementation of "DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations"
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UnboundLocalError: local variable 'uc_encoder_hidden_states' referenced before assignment #3
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loboere opened 3 months ago
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ in:29 │
│ │
│ 26 # Redimensionar la imagen │
│ 27 imagen_redimensionada = cv2.resize(imagen, (nueva_ancho, nueva_altura)) │
│ 28 │
│ ❱ 29 img=inference.generate( │
│ 30 │ "santa claus", │
│ 31 │ image_input=imagen_redimensionada , #nueva_imagen, │
│ 32 │ subject_text="style", #["None", "style", "content", "style & content"] │
│ │
│ in generate:120 │
│ │
│ 117 │ │ │ │ │ │ │ 'inp_image': 2(T.ToTensor()(Image.fromarray(image_input).co │
│ 118 │ │ │ │ │ │ │ 'subject_text': [subject_text]batch_size, │
│ 119 │ │ │ │ │ │ }) │
│ ❱ 120 │ │ │ │ │ uc, c = uc_encoder_hidden_states, c_encoder_hidden_states │
│ 121 │ │ │ │ │ │
│ 122 │ │ │ │ │ shape = [4, 64, 64] │
│ 123 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
UnboundLocalError: local variable 'uc_encoder_hidden_states' referenced before assignment