Older diffusion models won't work with current txt2img script

[SimonInParis]

Older diffusion models won't work anymore, for example using models/ldm/text2img256/config.yaml and its corresponding checkpoint.
Using the text2img256 model checkpoint, the command line was: python3 scripts/txt2img.py --ckpt="model.ckpt" --config="models/ldm/text2img256/config.yaml"

Leading to a tensor mismatch:

  File "/home/simon/anaconda3/envs/ldm/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 443, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Given groups=1, weight of size [192, 3, 3, 3], expected input[6, 4, 64, 64] to have 3 channels, but got 4 channels instead

Probably a batch size extra dimension?

[7flash]

happens same to me with the recent v.1.4 model and command:

python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms

        size mismatch for first_stage_model.post_quant_conv.bias: copying a param with shape torch.Size([3]) from checkpoint, the shape in current model is torch.Size([4]).

[7flash]

Hangs out at this moment when loading config

[7flash]

Using this config instead, works for me:

https://github.com/basujindal/stable-diffusion/blob/main/optimizedSD/v1-inference.yaml

[trofimovaolga]

Change shape in txt2img.py to shape = [3, opt.H//8, opt.W//8]. But seems like default weights are badly pretrained as they result in colored squares without any images.