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I purchased the Traffic upgrade but when I go the 'upgrades' section the only link available is to the sales page?
Item: Affiliate Commission Machine TRAFFIC
SaleID: wso_nqz8lk_67219570

Thank You

Hi Jorge,

you might remember this problem I have with this error message coming up whenever I try to do the last step of the setup procedure (its all in the ticket : Error on "Start stable-diffusion"

Your last answer was the question whether I would try to run 2.1 or 1.5.
I was on a business trip the last days and couldn't answer in time. Then the ticket was closed and I need to open a new one.

My answer to your question is I try to run 1.5. :-)

Thanks
Klaus

Is it possible to cartoon any image in your software? - Have a look at the video I used for inpainting.
For example, import any image or request it by Google it(image)? You can import any image, yes
Is it a 4K image? Not sure, how could I know? Depending on the image...
What format of the image is possible? Usually JPG, you can resize with Stable diffusion or bigjpg.com
Is it possible resizing the image and modify it? Yes, it's explained in the videos
Is it possible to divide the image into layers and change the colours of the elements and even modify them too? There's no way to do that YET...
Let's see how AI improves that!

Date: 31/01/2023 20:05
User: Leonid Rodine
Is it possible PNG format?
Can you provide a link to a video which you mention?
You don't know what means 4K or your software can't do the resolution of the image at such a level?
The last question was related to NFT creation(4K too). It is so important to increase your sales dramatically.

Hey,
My account does not show Upgrade 2 access

Item: AI Unlimited How to make money
SaleID: wso_cs50qf_65124752
Price: 29.00 USD

Paypal = djv.marketplace@yahoo.com

Thanks

I have tried a few times to go through set up but I keep getting errors at step 18 of Your Own Images Video section.

Below is the latest error I got at the last attempt. Can you please assist.

Installing collected packages: transformers
Successfully installed transformers-4.26.1
2023-02-12 10:22:08.407657: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-02-12 10:22:11.925382: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-02-12 10:22:11.925627: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-02-12 10:22:11.925650: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
Generating class images 94% 117/125 [1:01:12<04:11, 31.39s/it]Traceback (most recent call last):
File "/usr/lib/python3.8/subprocess.py", line 1083, in wait

Traceback (most recent call last):
File "/content/diffusers/examples/dreambooth/train_dreambooth.py", line 789, in
main()
File "/content/diffusers/examples/dreambooth/train_dreambooth.py", line 481, in main
images = pipeline(example["prompt"]).images
File "/usr/local/lib/python3.8/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return self._wait(timeout=timeout)
File "/usr/lib/python3.8/subprocess.py", line 1806, in _wait
return func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 495, in __call__
noise_pred = self.unet(latent_model_input, t, encoder_hidden_states=text_embeddings).sample
(pid, sts) = self._try_wait(0)
File "/usr/lib/python3.8/subprocess.py", line 1764, in _try_wait
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
(pid, sts) = os.waitpid(self.pid, wait_flags)
KeyboardInterrupt

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in
sys.exit(main())
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main
args.func(args)
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 837, in launch_command
simple_launcher(args)
File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 352, in simple_launcher
process.wait()
File "/usr/lib/python3.8/subprocess.py", line 1096, in wait
self._wait(timeout=sigint_timeout)
File "/usr/lib/python3.8/subprocess.py", line 1800, in _wait
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/diffusers/models/unet_2d_condition.py", line 365, in forward
sample = upsample_block(
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
time.sleep(delay)
KeyboardInterrupt
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/diffusers/models/unet_2d_blocks.py", line 1251, in forward
hidden_states = attn(hidden_states, encoder_hidden_states=encoder_hidden_states).sample
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/diffusers/models/attention.py", line 219, in forward
hidden_states = block(hidden_states, context=encoder_hidden_states, timestep=timestep)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/diffusers/models/attention.py", line 479, in forward
hidden_states = self.attn2(norm_hidden_states, context=context) + hidden_states
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/diffusers/models/attention.py", line 550, in forward
key = self.to_k(context)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/torch/nn/modules/linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)
KeyboardInterrupt
^C
Something went wrong

Thank you.

I asked the question about how to generate images that are NOT square 512 x 512. Your response was to use the "sliders."

I am using the Stable Diffusion Playground. There are sliders under "Advanced Settings," but there is a message with all of those sliders that says the slider has been temporarily disabled.

Can you please provide me with specific instructions about how to change the image size generated when using the Stable Diffusion Playground?

Thank you,
BJ

Hello,

I purchased the AI Unlimited Prompt Helper but it doesn't show up on my dashboard. Am I doing something wrong? Any help would be greatly appreciated.

Thanks,
Mike

Hello,
Is it possible to cartoon any image in your software?
For example, import any image or request it by Google it(image)?
Is it a 4K image?
What format of the image is possible?
Is it possible resizing the image and modify it?
Is it possible to divide the image into layers and change the colours of the elements and even modify them too?

I want to generate images that are NOT square (512 x 512). How can I change the dimensions of the image that the AI generator creates?

I upgraded my account inside AIUnlimited. What do I need to do to get that upgrade? My system is still telling me to upgrade. I did sign out and sighn back in but it did not help.
Thank You
Cindy Hoffman