i would try to learn kaggle first
i would try to learn kaggle first
Roh
Rmaybe i need to uninstall first tensorflow
Rthen reinstall the older version?
Fi would try fresh install
Ri have deleted the venv and tried a few times
Rstrangely though I am getting
(venv) D:\auto-resize>pip uninstall tensorflow
WARNING: Skipping tensorflow as it is not installed.
(venv) D:\auto-resize>pip uninstall tensorflow
WARNING: Skipping tensorflow as it is not installed.
Rtensorflow doesnt even seem installed
Ri dont understand why it wont install in my environment. it was working fine
Rok i am going to redownload your script again though i dont see how anything could have changed
Fstill using python 3.10 right?
R3.10.11
Fduring install do you get any error?
Fye this is correct
R(venv) D:\auto-resize>pip install tensorflow==2.4.1
ERROR: Could not find a version that satisfies the requirement tensorflow==2.4.1 (from versions: 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0rc0, 2.10.0rc1, 2.10.0rc2, 2.10.0rc3, 2.10.0, 2.10.1, 2.11.0rc0, 2.11.0rc1, 2.11.0rc2, 2.11.0, 2.11.1, 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, 2.15.0)
ERROR: No matching distribution found for tensorflow==2.4.1
[notice] A new release of pip is available: 23.0.1 -> 23.3.2
[notice] To update, run: python.exe -m pip install --upgrade pip
(venv) D:\auto-resize>python --version
Python 3.10.11
ERROR: Could not find a version that satisfies the requirement tensorflow==2.4.1 (from versions: 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.8.3, 2.8.4, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1, 2.9.2, 2.9.3, 2.10.0rc0, 2.10.0rc1, 2.10.0rc2, 2.10.0rc3, 2.10.0, 2.10.1, 2.11.0rc0, 2.11.0rc1, 2.11.0rc2, 2.11.0, 2.11.1, 2.12.0rc0, 2.12.0rc1, 2.12.0, 2.12.1, 2.13.0rc0, 2.13.0rc1, 2.13.0rc2, 2.13.0, 2.13.1, 2.14.0rc0, 2.14.0rc1, 2.14.0, 2.14.1, 2.15.0rc0, 2.15.0rc1, 2.15.0)
ERROR: No matching distribution found for tensorflow==2.4.1
[notice] A new release of pip is available: 23.0.1 -> 23.3.2
[notice] To update, run: python.exe -m pip install --upgrade pip
(venv) D:\auto-resize>python --version
Python 3.10.11
Rdont know what to do
Rok wait
Rthink i know
Rthis is the correct install.bat with tensorflow==2.10
Rgot it
Ri got cropper install confused with resizer
Rdifferent tensorflow
AThanks, can you share what should be the couple of next steps?
Rstill not working
Rok working i think lol
KWhich one is latest?
KAh there
SSDXL has two text encoders. I see the latest training config on patreon is training both of them. How does this work when prompting? Particularly when using the
sdxl_gen_imgdiffusers
Fwatching my kaggle all tutorials
FGitHub
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, R...
Fit is training only 1 of them
Fi tested all possible combinations. training only 1 yielded better
Fi am sending same prompt with auıtomatic1111
SOh I see yeah you're right. I've been training with this:
but I see the latest config has this:
Looks like i'm missing
but I see the latest config has this:
Looks like i'm missing
learning_rate_telearning_rate_te1the gui changed. so now uses latest config
Fmy post going viral haha : https://www.reddit.com/r/StableDiffusion/comments/18mbg5n/trained_a_new_stable_diffusion_xl_sdxl_base_10/
Reddit
Explore this post and more from the StableDiffusion community
୧I hope Kaggle doesn't get so popular so that they reduce the allowances
JJavier Milei president of Argentina 
JWhat’s new?
VHello,
Does anyone know how to access tensorboard from a pod on runpod.io as it doesn't generate a public url?
Tried this method here https://blog.yyliu.net/remote-tensorboard/ but I can't make it work, receiving this on my local:
channel 4: open failed: unknown channel type: unsupported channel type
(the connection ssh between my machine and the pod works)
Does anyone know how to access tensorboard from a pod on runpod.io as it doesn't generate a public url?
Tried this method here https://blog.yyliu.net/remote-tensorboard/ but I can't make it work, receiving this on my local:
channel 4: open failed: unknown channel type: unsupported channel type
(the connection ssh between my machine and the pod works)
Yaoyao's Blog
Tensorboard is a very convenient tools for tensorflow, whihc allows us to view the summaries of the running experiments in the browser. However, for the people who study the DNNs, it is very common to
V[SOLVED in case someone else needs this] First expose a port (e.g. 6001) from pod's settings and then add --bind all to the command: tensorboard --logdir "/workspace/something" --port 6001 --bind_all
ADid you ever make that tutorial on what constitutes a good dataset
EHey can anyone guide me on this error on Kaggle?
E
Ewhile installing Pyngrok it is giving this error:
ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/PyYAML-6.0.1.dist-info/METADATA'
ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: '/opt/conda/lib/python3.10/site-packages/PyYAML-6.0.1.dist-info/METADATA'
Ahey im new to this, how can i enable the control net like in webui, but in code Enabled on the .safetensor i want not default using replicate or any Gpu provider?
like using ControlNet on the checkpoint(blalala.safetensors) i want not the default checkpoint, using the the replicate? exactly how webui allows you to decide the checkpoint and then enabling control net on selected model. whats the process of that should i change the controlnet model change the base checkpoint and cog it to replicate or is there any better way to do that?
i have tried running the model i want on replicate by giving the controlnet seg map got some familier result but still far from the combination in webui, and in that way don't know how should change the settings like
starting control steps: , ending control steps:
like using ControlNet on the checkpoint(blalala.safetensors) i want not the default checkpoint, using the the replicate? exactly how webui allows you to decide the checkpoint and then enabling control net on selected model. whats the process of that should i change the controlnet model change the base checkpoint and cog it to replicate or is there any better way to do that?
i have tried running the model i want on replicate by giving the controlnet seg map got some familier result but still far from the combination in webui, and in that way don't know how should change the settings like
starting control steps: , ending control steps:
IHello - I am trying to create some animations with animatedDiff. In the stable diffusion checkpoint I am using a model i used to train safetensor files with on my own style (sdxl 1.0) but it does not want to output any sort of gif animation with this model - can anyone tell me how i can do this? OR how can i train an animated SD model (like the ones you find on CivitAI) to use for text to MP4 output with my own safetensor files etc?
D
Vguys does training my photos as 1024 * 1024 model better than 512 * 512 model;
also I want to use controlnet extensively and sdxl doesnt support openpose; should I train using sd 1.5 model?
also I want to use controlnet extensively and sdxl doesnt support openpose; should I train using sd 1.5 model?
V@Dr. Furkan Gözükara
