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--- |
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datasets: |
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- AnyaSchen/image2music_abc |
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tags: |
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- music |
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- image |
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--- |
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This repo contains model for music generation from images. The generated music returns in ABC format and it can be sound for example [here](https://editor.drawthedots.com/). Note, that you need to correct BPM (this is speed) to make music more logical and natural. |
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The model is fune-tuned concatecation of two pre-trained models: [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) as encoder and [sander-wood/text-to-music](sander-wood/text-to-music) as decoder. |
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To use this model you can write this: |
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``` |
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from PIL import Image |
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import requests |
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from transformers import AutoTokenizer, VisionEncoderDecoderModel, ViTImageProcessor |
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def generate_music(model, image, tokenizer): |
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pixel_values = feature_extractor(images=image, return_tensors="pt").pixel_values |
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pixel_values = pixel_values.to(device) |
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generated_tokens = model.generate( |
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pixel_values, |
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max_length=300, |
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num_beams=5, |
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top_p=0.8, |
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temperature=2.0, |
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do_sample=True, |
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pad_token_id=tokenizer.pad_token_id, |
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eos_token_id=tokenizer.eos_token_id, |
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) |
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generated_music = tokenizer.decode(generated_tokens[0], skip_special_tokens=True) |
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return generated_music |
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path = 'AnyaSchen/image2music' |
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fine_tuned_model = VisionEncoderDecoderModel.from_pretrained(path).to(device) |
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feature_extractor = ViTImageProcessor.from_pretrained(path) |
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tokenizer = AutoTokenizer.from_pretrained(path) |
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url = 'https://anandaindia.org/wp-content/uploads/2018/12/happy-man.jpg' |
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image = Image.open(requests.get(url, stream=True).raw) |
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generated_music = generate_music(fine_tuned_model, image, tokenizer) |
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print(generated_music) |
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``` |
