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Can you provide a single image inversion guidance? I use my own dataset to train but this training code may need a latent.pt as initialization. How to get the lantent code?
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### Model/Pipeline/Scheduler description
The BDIA-DDIM scheduler was first applied in stable diffusion in the ECCV 2024 paper ["Exact Diffusion Inversion via Bi-directional Integration Approximation"…
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Hi,
Thank you for this great toolbox. I've been trying out your pre-trained model, and have noticed a possible discrepancy between the modalities classified.
In your paper, I see that there ar…
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current img2img is not so well, [RF Inversion](https://rf-inversion.github.io/)) provides an inverse method for Flux real image editing, can we implement it using diffusers?
or how can we use DDIM …
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Deer author： @rinongal
Thank you for your outstanding work!
I have a question in the training stage:
My training script:
```python
python ~/textual_inversion-main/main.py \
--base ~…
J-1nn updated
1 month ago
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### Model/Pipeline/Scheduler description
Achieving faithful image-to-noise inversion with Denoising Diffusion models remains a challenge, particularly for more recent models trained to generate image…
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OSX 10.11.2
Anki Version 2.0.33
Qt 4.8.2 PyQt 4.9.4
Also, I have css specifyin…
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Hello,
On their blog page, we can see that they managed to make a SDE sampler that works on Flux. It would be interesting to implement that aswell.
https://rf-inversion.github.io/
![image](https:…
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Thank you for your amazing work. I attempt to reconstruct the original image using the provided code and image, but the outcome is unsatisfactory. Can you offer any advice?
from src.eunms import Mo…