Comments (2)
Thanks for your interest.
- It seems the output image is in wrong BGR instead of RGB. Please check the inference code.
- The output results depend on both the text-to-panel and panel-to-image results. In your case, 10 apples are more diffcult for the first stage to properly arrange them. You can try different arrangement using random seed at first, and then run the panel-to-image with satisfying arrangement.
from ranni.
I got good results using the recommended prompt and seed, but when I used the recommended prompt and random seed I got worse results. Good Result: input prompt: a black dog and a white cat input seed: 15
Bad Result: input prompt: 10 apples on the table input seed: 15 Any solutions?
I agree, after having tried many times with different prompts and seeds, most of results coming out are not desirable,
generally speaking they still got issues with colours and numbers, I feel like the default demo examples are kinda of cherry picking, hopefully they can release the version they used in the original paper
from ranni.
Related Issues (20)
- bug on initializing open-clip model HOT 3
- Will there be 1.5 and XL versions? HOT 2
- Segmentation fault error when doing panel-to-image HOT 2
- pip conflict when install the requirements during conda env creation HOT 5
- Why are the results I tried so different from the results in the paper? HOT 4
- Why the box prompt not same as in paper. HOT 1
- Continuous editing HOT 3
- Example results HOT 1
- demo error HOT 1
- Inference GPU memory HOT 1
- all black when running the text to panel HOT 6
- Quantized Model Usage? HOT 1
- this method is powerful, i hope you can release more code and checkpoint HOT 1
- Training code HOT 1
- Demo results are bad HOT 1
- About unsatisfactory results HOT 4
- Bad results of demo
- 是否有ComfyUI的实现?
- real image edit HOT 2
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