Upload test_mgie.py with huggingface_hub
Browse files- test_mgie.py +3 -2
test_mgie.py
CHANGED
@@ -114,6 +114,7 @@ for i in tqdm(range(1)):
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img = image_processor.preprocess(img, return_tensors='pt')['pixel_values'][0]
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xmb = data[i]["content"][1]["text"]
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txt = "what will this image be like if '%s'"%(txt)
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txt = txt+'\n'+DEFAULT_IM_START_TOKEN+DEFAULT_IMAGE_PATCH_TOKEN*image_token_len+DEFAULT_IM_END_TOKEN
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conv = conv_templates['vicuna_v1'].copy()
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@@ -140,9 +141,9 @@ for i in tqdm(range(1)):
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res.save(save_img_path)
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token_indices = T.arange(1, len(xmb) + 1)
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token_indices = get_indices_to_alter(pipe,
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img = vis_utils.show_cross_attention(attention_store=controller,
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prompt=
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tokenizer=tokenizer,
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res=16,
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from_where=("up", "down", "mid"),
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img = image_processor.preprocess(img, return_tensors='pt')['pixel_values'][0]
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xmb = data[i]["content"][1]["text"]
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+
xb = data[i]["content"][1]["text"]
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txt = "what will this image be like if '%s'"%(txt)
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txt = txt+'\n'+DEFAULT_IM_START_TOKEN+DEFAULT_IMAGE_PATCH_TOKEN*image_token_len+DEFAULT_IM_END_TOKEN
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conv = conv_templates['vicuna_v1'].copy()
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res.save(save_img_path)
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token_indices = T.arange(1, len(xmb) + 1)
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+
token_indices = get_indices_to_alter(pipe, xb) if token_indices is None else token_indices
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img = vis_utils.show_cross_attention(attention_store=controller,
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prompt=xb,
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tokenizer=tokenizer,
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res=16,
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from_where=("up", "down", "mid"),
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