Comments (8)
I have tried this example, with tiny modification, the result seems relatively good.
Any ideas when the author will release the codes?
from multidiffusion.
the website is fixed now, I tried some examples on this website, but the results I obtained are significantly different from those presented in the paper. .......
![企业微信截图_b4a81f02-ddfe-4968-b6cb-2d8aa5503352](https://private-user-images.githubusercontent.com/56078814/250429337-09db97c6-7b26-48dd-909d-ce0153fb0f4b.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.zi2aiW-YbaItKEoFaVOFqc-ZGtSXpOzTC1StmGBOjY4)
hope to get some help from the authors.....
from multidiffusion.
the website is fixed now, I tried some examples on this website, but the results I obtained are significantly different from those presented in the paper. .......
hope to get some help from the authors.....
the website is fixed now, I tried some examples on this website, but the results I obtained are significantly different from those presented in the paper. .......
hope to get some help from the authors.....
I tried, and the results are significantly worse compared to those in the paper......
from multidiffusion.
Please note that by default, the bootstrapping parameter is set to 20, as in the application of tight masks.
The high bootstrapping parameter encourages high-fidelity to accurate segmentation masks, but may not be suitable for rough bounding boxes (as in the provided example). The parameter can be controlled under 'advanced options'.
from multidiffusion.
hi Can you give me a set of detailed parameters to generate high-quality results? examples: prompts, bootstrapping parameter and so on . I have tried many experiments, but the results are bad ....
from multidiffusion.
Please note that by default, the bootstrapping parameter is set to 20, as in the application of tight masks. The high bootstrapping parameter encourages high-fidelity to accurate segmentation masks, but may not be suitable for rough bounding boxes (as in the provided example). The parameter can be controlled under 'advanced options'.
Could you give me an example of using this website to generate some good results?
from multidiffusion.
Please note that by default, the bootstrapping parameter is set to 20, as in the application of tight masks. The high bootstrapping parameter encourages high-fidelity to accurate segmentation masks, but may not be suitable for rough bounding boxes (as in the provided example). The parameter can be controlled under 'advanced options'.
I also tried almost every settings in adcanved options, but I found no one can generate images like the demos in your website.
from multidiffusion.
Requesting the authors to please upload sample inputs on hugging-face demo for region-control. I've tried everything from accurate segmentation masks to varying the bootstrapping param, but nothing seems to generate images anywhere near the likes of that are presented in the paper.
from multidiffusion.
Related Issues (20)
- Question About Blurring of Overlapping Masks HOT 4
- get_views returns negative indices for values less than 512 HOT 1
- spatial controls Runtime Error
- A small problem in the diffusers. HOT 1
- Bad results on the region-based demo HOT 2
- Bug in vae_optimize.py, vae_tile_forward uses 'result' when result is None HOT 1
- is this repository being maintained?
- Resolution or Projection Question about MultiDiffusion
- The evaluation dataset about COCO dataset HOT 1
- Why is averaging over overlapping regions necessary? HOT 1
- What does FTD stand for? HOT 1
- Ablation to Scheduler/Guidance Scale?
- When will codes about how to train the ckpt release?
- FoV of generated Panorama
- region based not working for multiple prompts HOT 3
- Problem of Formula Derivation HOT 1
- Equation 4 interpetation for the panorama use case HOT 1
- Bootstrapping implementation HOT 1
- Only able to generate part of the panorama HOT 1
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from multidiffusion.