-
v3: patch_size=4 (64 tokens), 2 core layers, iters [2,3,4], ~16min total training
-
PERF: force fp32 for FFT, JIT scan, fix RMSNorm, cache Manhattan
-
Fix: force_download=True to bypass HF cache, add assertion checks
-
v2: Use pre-trained SD-VAE, fix all bugs, pre-cache everything, massive speedup
-
v2: Use pre-trained SD-VAE, fix all bugs, pre-cache everything, massive speedup
-
Perf fix: cache Manhattan dist, optimize scan, pre-cache CLIP, fix deprecated AMP API
-
Perf fix: cache Manhattan dist, optimize scan, pre-cache CLIP, fix deprecated AMP API
-
Update README with Colab notebook link
-
Add complete Colab/Kaggle training notebook
-
Add ARCHITECTURE.md
-
Add test_iris.py
-
Add train_iris.py
-
Add iris_model.py
-
Add IRIS architecture - novel mobile-first image generation
-
initial commit