Comments (3)
I'm not in a developer role, I'm in a user role : I just want to run NVLabs' code with untrusted weights downloaded from the internet, to produce pretty images.
Running NVLabs' code :
python generate.py --outdir=out --trunc=1 --seeds=0-35 --class=1 --network=any-untrusted-weight.pkl
Should not compromise my machine or my network ever, and I shouldn't need to protect against using a pseudo jail like docker.
So NVLabs need to take an action, not me or any other user.
I'd advise NVLabs against using CensoredUsername's picklemagic unless they fully audit it first and forever.
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You could use docker as a shield to the OS.
or
https://github.com/CensoredUsername/picklemagic
from stylegan2-ada.
I understand your concern, but...
- Both StyleGan2-Ada and ThisBeachDoesNotExist.com are for research purposes only, not for end-users, so perhaps they don't deal with security that much.
- PKL format is nothing but a serialized data structure. You can easily look inside the pkl file and verify that there is no malicious code.
from stylegan2-ada.
Related Issues (20)
- Sorry, but I suspect your FID is fake HOT 8
- "W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. " & "tensorflow.python.framework.errors_impl.NotFoundError: /home/paperspace/stylegan2/dnnlib/tflib/_cudacache/fused_bias_act_afa4ff47e864043461655b92eafcdf5f.so: undefined symbol: _ZN10tensorflow12OpDefBuilder5InputESs" HOT 1
- (gen_img[:, 0, 0, 0] * 0 + loss_Gpl) ... but why? HOT 1
- NVCC error. Compilation of custom CUDA ops on Windows 10 for Tensorflow 2.x HOT 5
- Error: Unable to allocate 0 bytes for an array with shape HOT 2
- Continue training HOT 4
- nvcc fatal
- StyleGAN2 Pickle File not working
- transfer learning with custom dataset has dominant influence HOT 2
- ValueError: axes don't match array, images will work one run and not work the next
- NotImplementedError: Cannot convert a symbolic Tensor (Train_gpu0/Loss_R1/gradients/Train_gpu0/Augment_1/transform/ImageProjectiveTransformV2_grad/flat_transforms_to_matrices/strided_slice:0) to a numpy array.
- How to show real and fake loss in Colab?
- Model conversion to tf.keras.Model (external application)
- FFHQ download script broken HOT 5
- How to recover if training is interrupted
- Structure of a new training data set HOT 1
- Projection.py, Why the reconstruction of some images and not good wile for some images it is better
- Range for heuristic r_t and ADA issues
- I'm sorry, but I suspect your FID is fake
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