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Very cool! I just released a tutorial on how to do this using the computerender api! https://github.com/computerender/tutorials/tree/main/python/vid2vid https:
by tehsauce 4y ago
Very cool! I just released a tutorial on how to do this using the computerender api!
https://github.com/computerender/tutorials/tree/main/python/vid2vid https://github.com/computerender/tutorials/tree/main/python/...
If you’re interested in saving money on expensive cloud gpus, our api is much cheaper than this. (only $0.001-0.0025 per frame)
- conidig 4y agodo you plan on adding dreambooth? I would give it a try.
- tehsauce 4y agoI would like to support dreambooth, if there is a way to store the fine-tuned models more efficiently. The challenge is that each trained model is quite large and a bunch of models can't fit into one gpus memory at once.
- conidig 4y agotextual inversion maybe? lightweight embeddings and I haven't seen any API offering it at the moment.
- spyder 4y agoTry the Lora fine-tuning method with few MB results: https://github.com/cloneofsimo/lora https://github.com/cloneofsimo/lora
- tehsauce 4y agoThis looks great! Thanks for sharing.
- nicollegah 4y agolooks cool. somehow the website looks screwed up in my browser (chrome) and I cannot get an API key after signing up.
- tehsauce 4y agoHm, what device/os are you browsing on? The site should be mobile-friendly except for the account page. Also please feel free to reach out by email or discord.
- sebzim4500 4y agoHow is it so cheap? I think that's a factor of 3 cheaper than others.
- tehsauce 4y agoThe GPUs are rented from vast.ai The individual machines aren't as reliable or well-integrated with other cloud services as typical cloud machines, but multiple can be put behind a queue to create a highly reliable service.