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README.md
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@@ -10,4 +10,34 @@ The first model for automatic text-to-video prompt generation. It finetuned on [
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# Usage
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# Demo
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# Usage
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## Download the model
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```
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from transformers import pipeline
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pipe = pipeline("text-generation", model="WenhaoWang/AutoT2VPrompt")
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```
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## Set the Parameters
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```
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input = "An undemwater world"
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max_length = 50
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temperature = 1.2
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top_k = 8
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num_return_sequences = 10
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```
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## Generation
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```
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all_prompts = pipe(input, max_length = max_length, do_sample = True, temperature = temperature, top_k = top_k, num_return_sequences=num_return_sequences)
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def process(text):
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text = text.replace('\n', '.')
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text = text.replace(' .', '.')
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text = text[:text.rfind('.')]
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text = text + '.'
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return text
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for i in range(len(num_return_sequences)):
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print(all_prompts[i]['generated_text'])
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```
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# Demo
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