leya516

4x upscale is fine but 2x upsacle poor with my own finetuned model

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Hello, I finetuned my own model with additional data following the README; Finally i got the ckpt, and i tested my images, but i found using "scripts/sr_val_ddpm_text_T_vqganfin_oldcanvas.py" with "--upscale 4"...

I use the model from https://huggingface.co/segmind/small-sd, but i found most of the result generated are poor So what's wrong with my usage ``` import torch from diffusers import DiffusionPipeline pipeline...

[Bug] version libcudnn_cnn_infer.so.8 not defined in file libcudnn_cnn_infer.so.8 with link time reference

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### Your current environment information PyTorch version: 2.3.1+cu118 Is debug build: False CUDA used to build PyTorch: 11.8 ROCM used to build PyTorch: N/A OneFlow version: none Nexfort version: none...

Any sample result?

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I am very intrested with your work, do you have any samples generated by 2-bit sd models? And how fast is it compared with original one?