File:CRAIYON-REALESRGAN-Six candidates standing on a compass.png

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Summary

Description Output of Craiyon (formerly "DALL-E Mini"). See the model card for information on the model used. Specifically (from the title card): "Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens. Descriptions are encoded through a BART encoder. The output of the BART encoder and encoded images are fed through the BART decoder, which is an auto-regressive model whose goal is to predict the next token. Loss is the softmax cross-entropy between the model prediction logits and the actual image encodings from the VQGAN." Upscaled using Real-ESRGAN.
Source craiyon.com
Author Craiyon
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Date/TimeThumbnailDimensionsUserComment
current19:48, 28 July 2022Thumbnail for version as of 19:48, 28 July 20221,024 × 1,024 (815 KB)JPxGensquaren image
17:13, 27 July 2022Thumbnail for version as of 17:13, 27 July 20221,024 × 783 (742 KB)JPxGCropped 10 % vertically using CropTool with precise mode.
03:24, 27 July 2022Thumbnail for version as of 03:24, 27 July 20221,024 × 872 (742 KB)JPxGoops, uploaded wrong version (that transparency looks like ass)
03:23, 27 July 2022Thumbnail for version as of 03:23, 27 July 20221,024 × 872 (633 KB)JPxG== {{int:filedesc}} == {{Information |Description=Output of Craiyon (formerly "DALL-E Mini"). See [https://huggingface.co/dalle-mini/dalle-mini the model card] for information on the model used. Specifically (from the title card): "Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens. Descriptions are encoded through a BART encoder. The output of the BART encoder and encoded images are fed through the BART decoder, which is an auto-regressive model whose go...

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