Coco Gen Datasets

TFRecord with:

feature = {
  'caption_id',
  'caption',
  'input_ids',
  'attention_mask',
  'file_name',
  'clip_score',
}

Generated using this Python script:
generate_tfrecords.py

Coco Gen Datasets

5

Create README.md

Stable Diffusion models

MD5 (decoder.tflite) = 491385ad873880ba1876e1d097fcc0e3
MD5 (first_model.tflite) = f0d6f45a2d702456a234c0a9b192816a
MD5 (second_model.tflite) = cea07208776347a8a5334106a09444fe
MD5 (text_encoder.tflite) = 8985768b09fe31b805e66b6048da9125

dummy_stable_diffusion.tflite

3

Create README.md

TFLite CLIP model

2

Create README.md

mobilenetv4_fp32_NCHW.mlpackage.zip

MD5 (mobilenetv4_fp32_NCHW.mlpackage.zip) = 164c504eb3e9af6c730c1765b8b81b32