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Hello, nice work on the training code! Thank you for sharing this code.
I have a question about your image conditioned classifier guidance in your code.
```python
if args.conditioning_dropout_prob …
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used the tool to convert a stablediffusion xl model by adding "--pipeline_class_name StableDiffusionXLPipeline".
Running it results in:
```
File "/***/***/anaconda3/envs/paint3d/lib/python3.8/site…
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**Is your feature request related to a problem? Please describe.**
Last year I wrote [a long article on how to train controlnets](https://civitai.com/articles/2078) using diffusers, and trained [two]…
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Error one: pretrained_model_path: "diffusers/stable-diffusion-v1-5"
diffusers doesn't have stable-diffusion-v1-5 model. BUT runwayml HAVE
Error two:
when I change it into "pretrained_model_pat…
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Hi @ahmadki I'm trying to reproduce the Stable diffusion training results.
I noticed when I decode the moments back to images using the VAE's decoder, I'm getting whited out images. See:
![from_…
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Loading pipeline components...: 100%|██████████| 6/6 [00:01
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Hi, I added it as a comment in previous issue, but I think it's nice to raise it as a separate ticket - an issue there was it'd be nice to update diffusers package to newer version, but nowadays I am …
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`python gradio_app_sdxl_specific_id.py`
gives
`ValueError: The provided pretrained_model_name_or_path "/mnt/bn/yupengdata2/projects/PhotoMaker/RealVisXL_V4.0" is neither a valid local path nor a val…
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Dear author,
Thank you for your sharing.
I have deployed your codes on my device. However, I found that the generated image is fully black, i.e., nothing can be seen. I guess that may be the VAE…
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For gated models add a comment on how to create the token + update the code snippet to include the token (edit: as a placeholder)