We will be generating AI art using 3 different platforms: baseten.co, blueprint.baseten.co (fine tuning models) , runpod.io
We need to write a web app for working with these 3 different platforms to explore mostly the Stable Diffusion/ControlNet models and that will enable us to do the following:
Replicate the design and image generation capabilities (ex:txt to img, img to img) of the user interface in this platform: https://openart.ai/create#
Additional functionalities:
-Save all technical information used when generating each image whenever an image is downloaded : Prompt, Model, size, scale, steps, sampler, seed, strength, creation time.
-Allow user to queue a larger number of images to be processed by the model in batches. ex: Queue 100 images, to be generated in batches of 7 at a time, and save to specific album. Allow users to queue more than one process in advance, before the first process concludes.
-Allow user to send all/specific images/batches of images/specific albums to external storage (Digital Ocean Server/Google drive). Easily connect the app to various external cloud storage options.
-Select and queue specific albums to be used for retraining more specific models. www.blueprint.baseten.co is commonly used for finetuning and deploying models.
-Installation Requirement: We need to be able to install/setup the apps in advance since different people may work with these models. We most likely will need written instructions and/or screencast videos from loom.com clearly showing steps for installation.
About the Platforms above:
Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently
Blueprint is a fine-tuning and serving infrastructure platform for software developers who are comfortable with backend and frontend engineering but lack expertise in model development and hosting. Blueprint works great for building user-facing applications with fine-tuned models
Runpod.io: https://docs.runpod.io/docs/custom-apis
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