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Hey. Since images are relatively small for CIFAR-10, I tried to run the following
```
model = Unet(
dim = 64, #Just affects how many nodes are in our blocks
dim_mults = (1, 2, 4)
).cuda…
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# 🐛 Bug
## Command
## To Reproduce
Steps to reproduce the behavior:
i'm using the diffusers repo to export the unet to onnx model. when i enable the xformers, there will be this er…
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Hello!
are there any pre-trained versions, which give me the skip connections needed for example UNet?
Based on my research the intermediate results of the layers for example ResNet10 in this rep…
mhun1 updated
3 years ago
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为什么我没有使用中文路径,还是报'gbk'的错
例如:jpgs_path = "E:\deeplabv3-plus-pytorch-main\deeplabv3-plus-pytorch-main\datasets\JPEGImages" #输出的原图位置
pngs_path = "E:\deeplabv3-plus-pytorch-main\deeplabv3-…
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# ComfyUI Error Report
## Error Details
- **Node Type:** MagicClothing_Inpainting
- **Exception Type:** TypeError
- **Exception Message:** For single controlnet: `controlnet_conditioning_scale` mu…
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Is there something in the repository that treats mirrors about the y-axis as equivalent? Wondering if this is just an artifact of the checkpoint `sample-##.png` stacking of the images or if those are …
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Is there any text-image dataset that is not so large(containing less than one hundred thousand pairs)?
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Hey All! So as discussed with @naga-karthik I've had some issues with the "aggregated training".
I am running into memory issues where no fixes seem to work.
I am using Naga's [training script](…
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RuntimeError: Expected is_sm80 || is_sm90 to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)
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**What API design would you like to have changed or added to the library? Why?**
Most people expect `diffusers` and `transformers` "models" to be "unloaded" so that they can "just" "run" a "big" "p…