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jags111asymmetric-tiling-comfyui's Issues
requests "seed" node input, none provided.
There is a few issues with this sampler, the first being that it doesn't work, it asks for "seed" and doesn't do anything with that. second, there's no readme.
for item in dir(obj): print(item, end = " ") spamming console. Move to dev branch only if needed,
我们可以摆脱:
“对于 dir(obj) 中的项目:
打印(项目...)”
?
它正在向我的控制台发送垃圾邮件。
We can get rid of:
"For items in dir(obj):
Print (item...)"
?
It's spamming my console.
asymmetric-tiling-comfyui/node.py
Line 115 in 0c6155a
至少删除对 print type int 和 print type torch.sensor 的调用
At least remove the calls to print type int, and print type torch.sensor
Dirty workaround:
def print_object_info(self, obj):
if (type(obj) == Tensor) or (type(obj) == int):
return None
print("Type:", type(obj))
print("Attributes and methods:", end=" ")
for item in dir(obj):
print(item, end=" ")
但我会考虑删除那些在回调中使其发生的内容。
最好在主分支中删除它们,并仅在 dev 分支中使用它们:
self.print_object_info(步骤)
self.print_object_info(x0)
self.print_object_info(x)
self.print_object_info(total_steps)
But I would look into removing the ones that make it happen in the callback.
It might be better to delete these in the main, and use them in dev branch only:
self.print_object_info(step)
self.print_object_info(x0)
self.print_object_info(x)
self.print_object_info(total_steps)
Nothing is completely seamless when using SDXL
When using SDXL, there is still a seam of about one or two pixels. Is there any way to solve it?
Sorry to point out that this is obviously not working yet
This project is not working yet, use webui asymmetric tiling plugin if is a must(it's code is really simple but works).
And with sampler overide only, it's not quit possible producing a seamless image. It must modify the padding method of the whole unet and the vae as well.
https://github.com/spinagon/ComfyUI-seamless-tiling this code is working, but bot X Y direction.
feature request:KSampler for SDXL
Is it possible to update two KSampler nodes with refiner model input ports to make it more convenient to use SDXL?
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