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高速な画像生成モデル。
https://huggingface.co/stabilityai/sdxl-turbo
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Hello
Can the unsampler work with SDXL? I can only make it work with SD1.5. Many thanks for these fantastic tools.
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pipeline.py
```
class PuLIDPipeline:
def __init__(self, *args, **kwargs):
super().__init__()
self.device = 'cuda'
sdxl_base_repo = 'stabilityai/stable-diffusion-xl-…
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Thank you for your great contribution!
I have a question about the training on SDXL model.
Did you use 1024x1024 images for training on SDXL ipadapter model since pretrained SDXL model was trained w…
cpis7 updated
2 weeks ago
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## Summary
CLIP skip allows the user to choose what the last layer of the CLIP model used during generation
InvokeAI supports use of CLIP skip with SD1.5 & SD2.1
## Intended Outcome
* CLIP Skip i…
Millu updated
1 month ago
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When trying to train an SDXL DoRa, I get an error. Here is my TOML configuration, from the tmp file created when running:
[tmpfilelora.txt](https://github.com/bmaltais/kohya_ss/files/15069076/tmpfi…
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This is public and open sourced. 2500 AKT
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### Expected Behavior
When "Seamless tileable" option in "Sampling" is set to "true", SD3 (like any other model) supposed to generate images that can be stacked together with no identifiable seams. I…
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Is this method support SDXL? I just replace the model with sdxl base. And it raise error
Traceback (most recent call last):
File "/dfs/comicai/songtao.tian/StreamDiffusion/streamdiffusion_test…
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