Incorrect results when using img2img batch mode
themaxaboy opened this issue · 0 comments
themaxaboy commented
Now I've tested again and can start generating, but the resulting image is only the first image. It's like the loop isn't working properly.
lllyasviel/stable-diffusion-webui-forge@f94bcae
Reuse 1 loaded models
To load target model BaseModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 6634.41796875
[Memory Management] Model Memory (MB) = 0.0
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 5610.41796875
Moving model(s) has taken 0.07 seconds
*** Error running before_process_init_images: D:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffuse\scripts\forge_layerdiffusion.py
Traceback (most recent call last):
File "D:\webui_forge_cu121_torch21\webui\modules\scripts.py", line 868, in before_process_init_images
script.before_process_init_images(p, pp, *script_args, **kwargs)
File "D:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffuse\scripts\forge_layerdiffusion.py", line 429, in before_process_init_images
latent_offset = vae_transparent_encoder.encode(image)
File "D:\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffuse\lib_layerdiffusion\models.py", line 319, in encode
list_of_np_rgb_padded = [pad_rgb(x) for x in list_of_np_rgba_hwc_uint8]
File "D:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffuse\lib_layerdiffusion\models.py", line 319, in <listcomp>
list_of_np_rgb_padded = [pad_rgb(x) for x in list_of_np_rgba_hwc_uint8]
File "D:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffuse\lib_layerdiffusion\models.py", line 207, in pad_rgb
pyramid = build_alpha_pyramid(color=np_rgba_hwc[..., :3], alpha=np_rgba_hwc[..., 3:])
File "D:\webui_forge_cu121_torch21\webui\extensions\sd-forge-layerdiffuse\lib_layerdiffusion\models.py", line 190, in build_alpha_pyramid
current_premultiplied_color = color * alpha
ValueError: operands could not be broadcast together with shapes (512,512,3) (512,512,0)```