[transformer v2] Load + evaluate FID for OpenAI guided-diffusion models #84
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inner_model_ema
onlymodel_ema
with accelerate--evaluate-only
no longer requires you to specify a (redundant)--evaluate-every
option--evaluate-only
now turns off a bit more stuffno_grad
toinference_mode
, which is even lower-overheadas for the config.json overrides for constructing the guided diffusion UNet…
compared to what was in your
clip_guided_diffusion/main.py
, I:512->256
"rescale_timesteps": True
, (making it default toFalse
)"timestep_respacing": "1000"
, (making it default to""
)"use_checkpoint": False
, (which was already the default)I did this to closer match the
MODEL_FLAGS
they documented in their README:https://github.com/openai/guided-diffusion#classifier-guidance