Run aodianyun/minicpm-v-26 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"aodianyun/minicpm-v-26:4e42bfc1891e0899109f0bd64e58948dabd872d9c5ebd7ecc1cc290a4b7e8f51",
input={
"image": "https://replicate.delivery/pbxt/LYg9UV9q67McivPuwvpQPjClOZ7KqaOHH5F2DgbfCZspIhOQ/input.mp4",
"prompt": "Describe the video in great detail."
}
)
# The aodianyun/minicpm-v-26 model can stream output as it's running.# The predict method returns an iterator, and you can iterate over that output.for item in output:
# https://replicate.com/aodianyun/minicpm-v-26/api#output-schemaprint(item, end="")
The video depicts a a cooking process involving a b. Here is the detailed step-by-step description:
1. **Initial Preparation**: The video begins with an empty pan on a and a utensils placed next to it.
22. **Adding Ingredients**: A person starts adding ingredients into the pan, which appears to be some form of liquid or sauce.
3. **Cooking Process Begins**: As more ingredients are added, the pan starts heating up, indicating the commencement of the cooking process.
4. **Monitoring Cooking**: The person continues to monitor the cooking process, ensuring that everything is being cooked evenly.
5. **Adding Vegetables**: At one point, green vegetables are added to the pan, suggesting a multi-ingredient dish is being prepared.
6. **Stirring and Mixing**: Throughout the cooking process, the individual uses a utensil to stir and mix the ingredients, ensuring they cook uniformly.
7. **Final Stages**: Near the end of the video, the contents in the pan appears well-cooked, with steam rising from it.
8. **Plating**: The final part of the video shows the pan being lifted off the heat source, and the cooked mixture being transferred into a container, likely for serving.
9. **Conclusion**: The video concludes with the pan being removed completely, leaving only the now container filled with the cooked mixture.
This sequence provides a visual representation of how a can be used for cooking various dishes, emphasizing the importance of monitoring and stirring during the cooking process.
video_duration 20.099
frame_rate 0.49753719090502013
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Run time and cost
This model runs on Nvidia L40S GPU hardware.
We don't yet have enough runs of this model to provide performance information.
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Logs (9aw9w676m9rgj0chxbg8w10g90)
Succeeded
video_duration 20.099
frame_rate 0.49753719090502013
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.