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Hi.
First of all. Thanks for your interesting research. I am interesting in finetuning stabe diffusion with my own medical dataset. However, I have some a question for you
CAMUS dataset has image…
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### Issue Type
Documentation Feature Request
### Source
source
### Keras Version
Keras 2.13.1
### Custom Code
Yes
### OS Platform and Distribution
Linux Ubuntu 22.04
### Python version
3.9
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hi, thanks for this excellent work. Could you please share the code for finetuning stable diffusion to get the pretrained stable diffusion checkpoint?
Thanks!
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Hello,
Thank you for your work. I am trying to use your pretrained Whole-head MRI synthesis diffusion model for 2D image reconstruction. My image size is (256, 256). Apart from resizing my image to…
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Hello, I am following the following document for finetuning stable-diffusion-xl-1024-v1-0
https://next.platform.stability.ai/docs/features/fine-tuning
in the imports
from stability_sdk.finet…
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# pip install image-reward
# pip install diffusers==0.16.0 accelerate==0.16.0 datasets==2.11.0
from ImageReward import ReFL
args = ReFL.parse_args()
trainer = ReFL.Trainer("CompVis/stable-diffusio…
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I have downloaded the stable-diffusion-x4-upscaler pre-train model from https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler
I try to fine-tune the upscaler model with my own data, howev…
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Hello, do you have the code of editing ability training
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### Feature Idea
"DiffuseHigh enables the pre-trained text-to-image diffusion models (SDXL in this figure) to generate higher-resolution images than the originally trained resolution, e.g., 4×, 16×, …
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Hi,
Thank you for your interesting work. Do you plan to release your code (especially the fine-tuning part of the multi-view diffusion model), the trained reward model, and the entire dataset used …