Comments (4)
Hi, I added a script for the paired image generation. code
python generate_pair.py --sample 5
gives this:
from freezeg.
Thank for your answer, your generate_pair.py script can generate pair data perfectly. But if I want to generate pair data from a specific picture, what can I do to achieve this goal? As metioned in question, I get latent vector by step 1, then generate face2art picture with face2met_10k.pt model(set input_is_latent=True), but the art picture is something wrong in style,to verify the correctness of latent vector, I use it to generate picture with 550000.pt model and the result is correct. I cann't find the diffrence between your script and mine, and why my face2art picture is wrong in style?(from left to right:ffhq picture/project picture/face2art picture)
from freezeg.
I guess it's related to the domain of the latent code. Latent code obtained from the default projection method is not quite editable. You may want to use in-domain inversion methods or image2stylegan variants. Or you can try different latent codes for the finetuned layers as in gradio_app.py
. In that way, you can explore the latent space and see what is going on.
from freezeg.
Thanks for your advice, I will try!
from freezeg.
Related Issues (14)
- Congratulations HOT 5
- Regarding the datasets HOT 2
- Pre-trained model HOT 3
- How to use my own dataset to make Face2mydataset HOT 5
- Checkpoint key error when finetuning HOT 5
- Can't generate images from pretrained model HOT 1
- A few questions HOT 3
- Training configuration for different models HOT 3
- A few questions about your idea HOT 1
- When 'finetune_loc' > 0, mapping layer (mlp) is also fixed, right?
- Which one is better, freezeG or freezeD?
- Hyperparameters for Face2Simpson
- Pretrained model for Face2Simpsons
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