Update README.md

README.md

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 license: creativeml-openrail-m
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+SD1.5 experiments with Huber and MSE loss. All models trained for 4 epochs on approximately 250k images from a variety of sources. Approximately half from LAION Aesthetics, and a few thousand 4K video rips with COG-VLM captions.
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+Trained using Everydream2 Trainer (https://github.com/victorchall/EveryDream2trainer) on an RTX 6000 Ada 48gb.  Each epoch takes approximately 10 hours for a total of about 40 hours per model.
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+- Multi-aspect ratio trained with nominal size of <=768^2 pixels for each bucket
+- Batch size 12 with grad accum 10.
+- AdamW 8bit optimizer with standard betas of (0.9,0.999) and weight decay of 0.010.
+- Trained with automatic mixed precision FP16 and TF32 matmul
+- 3.0e-6 LR cosine schedule with a ~12 epoch target to decay, ending around 2.3e-6 at end of training
+- Pyramid noise using discount 0.03
+- Zero offset noise of 0.02
+- Min SNR gamma of 5.0
+- Unet only training, text encoder left frozen.
+- Conditional dropout of 10%
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+The following models were produced:
+- 768_huber.safetensors - Huber loss only
+- 768_mse.safetensors - MSE loss only
+- 768_ts0huber_ts999mse.safetensors - Huber loss at timestep 0 interpolated to MSE loss at timestep 999
+- 768_ts0mse_ts999huber.safetensors - MSE loss at timestep 0 interpolated to Huber loss at timestep 999
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+Worth noting timestep 0 is the lowest-noise-added step and 999 is most noised timestep. 
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