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Update README.md
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README.md
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@@ -30,14 +30,14 @@ model = T5ForConditionalGeneration.from_pretrained("roborovski/superprompt-v1",
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input_text = "Expand the following prompt to add more detail: A storefront with 'Text to Image' written on it."
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input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda")
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outputs = model.generate(input_ids,
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print(tokenizer.decode(outputs[0]))
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# The neon sign above the storefront reads "NeurIPS" in bold, white letters. The storefront is surrounded by a bustling cityscape, with skyscrapers and neon signs lining the walls. The sign is surrounded by a variety of colorful goods, including a variety of fruits, vegetables, and fruits, all arranged in a neat and organized manner. The storefront is surrounded by a bustling crowd of people, all chatting and laughing as they go about their daily routines.
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```
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It's important that you use the exact task prefix: `Expand the following prompt to add more detail:` and limit the max tokens to 77.
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## Examples
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input_text = "Expand the following prompt to add more detail: A storefront with 'Text to Image' written on it."
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input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda")
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outputs = model.generate(input_ids, max_new_tokens=77)
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print(tokenizer.decode(outputs[0]))
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# The neon sign above the storefront reads "NeurIPS" in bold, white letters. The storefront is surrounded by a bustling cityscape, with skyscrapers and neon signs lining the walls. The sign is surrounded by a variety of colorful goods, including a variety of fruits, vegetables, and fruits, all arranged in a neat and organized manner. The storefront is surrounded by a bustling crowd of people, all chatting and laughing as they go about their daily routines.
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```
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It's important that you use the exact task prefix: `Expand the following prompt to add more detail:` and limit the max tokens to 77 - which is the max prompt length for Stable Diffusion models.
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## Examples
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