README update

Author: coolkp

.github/workflows/UnitTests.yml

@@ -50,7 +50,7 @@ jobs:
         ruff check .
     - name: PyTest
       run: | 
-        HF_HUB_CACHE=/mnt/disks/github-runner-disk/ HF_HOME=/mnt/disks/github-runner-disk/ python3 -m pytest
+        HF_HUB_CACHE=/mnt/disks/github-runner-disk/ HF_HOME=/mnt/disks/github-runner-disk/ python3 -m pytest -x
 #  add_pull_ready:
 #    if: github.ref != 'refs/heads/main'
 #    permissions:

README.md

@@ -35,13 +35,13 @@ MaxDiffusion supports
 * Stable Diffusion 2 base (training and inference)
 * Stable Diffusion 2.1 (training and inference)
 * Stable Diffusion XL (training and inference).
+* Flux Dev and Schnell (Training and inference).
 * Stable Diffusion Lightning (inference).
 * Hyper-SD XL LoRA loading (inference).
 * Load Multiple LoRA (SDXL inference).
 * ControlNet inference (Stable Diffusion 1.4 & SDXL).
 * Dreambooth training support for Stable Diffusion 1.x,2.x.
 
-**WARNING: The training code is purely experimental and is under development.**
 
 # Table of Contents
 

src/maxdiffusion/input_pipeline/_tfds_data_processing.py

@@ -137,10 +137,9 @@ def make_tfrecord_iterator(
   # set load_tfrecord_cached to True in config to use pre-processed tfrecord dataset.
   # pedagogical_examples/dataset_tf_cache_to_tfrecord.py to convert tf preprocessed dataset to tfrecord.
   # Datset cache in github runner test doesn't contain all the features since its shared, Use the default tfrecord iterator.
-  if (config.cache_latents_text_encoder_outputs and
-      os.path.isdir(config.dataset_save_location) and
-      hasattr(config, 'load_tfrecord_cached') and
-      config.load_tfrecord_cached):
+  if (config.cache_latents_text_encoder_outputs
+      and os.path.isdir(config.dataset_save_location)
+      and hasattr(config, 'load_tfrecord_cached')):
     return make_cached_tfrecord_iterator(config, dataloading_host_index, dataloading_host_count, mesh, global_batch_size)
 
   feature_description = {