What is the hardware requirement for using AnyText?
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Answers ( 4 )
AnyText requires more than 8GB of GPU memory for FP16 inference and approximately 7.5GB for 512x512 image generation without a translator. Training the model takes about 312 hours on 8xA100 (80GB) GPUs or 60 hours on 8xV100 (32GB) GPUs when trained on 200k images.
For inference, AnyText requires GPU memory greater than 8GB, with FP16 inference needing approximately 7.5GB. Training requires 8xA100 (80GB) GPUs for about 312 hours, or 8xV100 (32GB) GPUs for about 60 hours using 200,000 images.
AnyText requires more than 8GB of GPU memory (FP16) for inference. Generating a 512x512 image typically requires around 7.5GB of memory. Training times can be extensive, with estimates of 312 hours on 8xA100 GPUs with 80GB memory or 60 hours on 8xV100 GPUs with 32GB memory.
The hardware requirements for using AnyText include:
- **GPU Memory**: FP16 inference requires over 8GB, and generating a 512x512 image requires approximately 7.5GB (without a translator).
- **Training Time**: Training on 8xA100 (80GB) takes about 312 hours, while training on 8xV100 (32GB) takes about 60 hours, with a training dataset of approximately 200k images.