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View Code? Open in Web Editor NEWA Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion
A Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion
Running the notebook as-is on colab pro, I get the following errors:
Current upscale target is /content/drive/MyDrive/MyName/Diffusion/existential/existentialbatch0000_iteration0021_output0000_211217-112807_637275_out.png
next_outscale is 2
usage: inference_realesrgan.py [-h] [-i INPUT] [-n MODEL_NAME] [-o OUTPUT]
[-s OUTSCALE] [--suffix SUFFIX] [-t TILE]
[--tile_pad TILE_PAD] [--pre_pad PRE_PAD]
[--face_enhance] [--half]
[--alpha_upsampler ALPHA_UPSAMPLER] [--ext EXT]
inference_realesrgan.py: error: unrecognized arguments: --model_path /content/Real-ESRGAN/experiments/pretrained_models/RealESRGAN_x4plus.pth
ERROR: CAN'T FIND UPSCALED FILE /content/drive/MyDrive/MyName/Diffusion/existential/existentialbatch0000_iteration0021_output0000_211217-112807_637275_out.png
at the moment the seeds change per batch which is great if you have one initial image , is there a way to disable that so it does one seed throughout the whole batch run.
The reason I ask is , at the moment I change my initial image per batch number ,so batch 0 / initial_img000.png || batch 1 initial_img_001.png and so on. I would love to have the seed consistant through the batch run so only the initial image changes for me.
I hope this makes sense somehow haha.
Thank you so much for your work!
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