These `UNet2DModel` checkpoints are small randomly-initialized U-Nets which accept 32x32 images for use in testing consistency models.
"test_unet_class_cond" is class-conditional (e.g. contains a class label embedding), while "test_unet" is not.
Please refer to the [original model card](https://github.com/openai/consistency_models/blob/main/model-card.md) for more information about consistency models.
{"license": "mit"}
diffusers safetensors license:mit region:us
TAGS
#diffusers #safetensors #license-mit #region-us 

These 'UNet2DModel' checkpoints are small randomly-initialized U-Nets which accept 32x32 images for use in testing consistency models.
"test_unet_class_cond" is class-conditional (e.g. contains a class label embedding), while "test_unet" is not.
Please refer to the original model card for more information about consistency models.
TAGS
#diffusers #safetensors #license-mit #region-us 
