license: creativeml openrail m base model: SG161222/Realistic Vision V4.0 datasets: recastai/LAION art EN improved captions tags: stable diffusion stable diffusion diffusers text to image diffusers inference: true Text to image Distillation This pipeline was distilled from SG161222/Realistic Vision V4.0 on a Subset of recastai/LAION art EN improved captions dataset. Below are some example images generated with the tiny sd model. This Pipeline is based upon the paper. Training Code can be found here. Pipeline usage You can use the pipeline like so: Training info These are the key hyperparameters used during training: Steps: 125000 Learning rate: 1e 4 Batch size: 32 Gradient accumulation steps: 4 Image resolution: 512 Mixed precision: fp16 Speed Comparision We have observed that the distilled models are upto 80% faster than the Base SD1.5 Models. Below is a comparision on an A100 80GB. Here is the code for benchmarking the speeds.
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