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* adding rich arg, adding coldkeys and hotokeys * moving rich to payload from headers * bump version --------- Co-authored-by: benliang99 <caliangben@gmail.com>
Adding two finetuned image models to expand validator challenges
Updated transformers version to fix tokenizer initialization error
* Made gpu id specification consistent across synthetic image generation models * Changed gpu_id to device * Docstring grammar * add neuron.device to SyntheticImageGenerator init * Fixed variable names * adding device to start_validator.sh * deprecating old/biased random prompt generation * properly clear gpu of moderation pipeline * simplifying usage of self.device * fixing moderation pipeline device * explicitly defining model/tokenizer for moderation pipeline to avoid accelerate auto device management * deprecating random prompt generation --------- Co-authored-by: benliang99 <caliangben@gmail.com>
bump version
aliang322
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Nov 25, 2024
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Looks good! Excited for the new models and clarified flows.
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TLDR
--neuron.devicethroughvalidator.env'sDEVICEvariableNew Model Details
We are introducing two additional popular open source image models for validator challenges, as part of our continuous effort to meaningfully expand the distribution of synthetic images that miners classify. Our goal is to encourage better miner generalizability to images produced by different deepfake methods.
For validators: No new dependencies/install requirements were added - models will automatically be downloaded to your local huggingface cache.
For miners: We foresee a difficulty increase in subnet challenges as miners adapt to the new models' image distributions.
The two models are:
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