Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
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Poor qualitative results with finetuned text-to-image generation model #402
I am testing the provided finetuned BASE text-to-image generation model and the quality of the generated images are very poor compared to those in the paper. I have similar (but slightly better) results with the large model. It would be great if the authors can point to the problem or provide a script with the same hyperparameters used to generate the images in the paper.
I am using the provided image_gen_example.py.
Here are some results using the query in Fig. 3 in the paper:
A street scene with a double-decker bus on the road._0:
Cattle grazing on grass near a lake surrounded by mountain._0:
A brown horse in the street_0:
Hello,
I am testing the provided finetuned BASE text-to-image generation model and the quality of the generated images are very poor compared to those in the paper. I have similar (but slightly better) results with the large model. It would be great if the authors can point to the problem or provide a script with the same hyperparameters used to generate the images in the paper.
I am using the provided
image_gen_example.py.Here are some results using the query in Fig. 3 in the paper: A street scene with a double-decker bus on the road._0:
Cattle grazing on grass near a lake surrounded by mountain._0:
A brown horse in the street_0:
Thanks in advance