Comments (5)
from stylegan-nada.
I have tried a number of operations that only allow me to make style changes to these four images.
In addition, I did not find a path to these four images, nor was I able to specify an image local to my device for the transformation
from stylegan-nada.
These 4 images are GAN generated. This isn't really a style-transfer method, so there's no real notion of content and style images. It's a zero-shot finetuning method for GANs. If you want to use it for Style Transfer, what you can do is use an inversion encoder to map your image into the GAN's latent space, then re-generate it using the fine-tuned GAN. One of our Colab notebooks should have example code for doing this, and we had a HuggingFace space that lets you do the same operation.
from stylegan-nada.
Sorry, I tried to run the colab you provided, but I found the following error when executing "Step 3: Train the model".
In addition, when I executed "step 4: convert the image to the new domain" in "step 4: generate samples with the new model", the following error occurred.
from stylegan-nada.
On the first error:
I see that torchvision was updated to use "value_range" instead of "range", you'll have to either downgrade to an older version of torchvision from before this change, or update the save_images function (
StyleGAN-nada/ZSSGAN/utils/file_utils.py
Line 33 in dc8406a
On the second error:
You need to run the 3rd cell before you can run the 4th. The net object is created in the 3rd cell.
from stylegan-nada.
Related Issues (20)
- Gradio related inquiry HOT 1
- Question about specifying the style HOT 4
- About the bug when running Demo HOT 7
- Style transfer of "White Walker" HOT 1
- How to use style mapper HOT 1
- A specific domain changes in global direction HOT 1
- Sample Code for retraining OASIS HOT 2
- Control eye position HOT 2
- Question about gradient of transforms HOT 2
- Unexpexted output when providing randomly sampled latents HOT 1
- clip_model_weights and auto_layer_k HOT 3
- Nvidia error when running docker-compose up HOT 1
- Cross-domain image interpolation HOT 3
- When choose other than 'ffhq' for source model type
- i want to add eyeglasses boundary from stylegan ffhq . HOT 1
- unauthorized: authentication required on docker compose up
- Ajout de nouvelle couche dans le modèle de stylegan_nada(transfert learning)
- image2image
- Performance Metric Missing HOT 2
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from stylegan-nada.