you need to train :d
you need to train :d
Xi got this error "pip install git+https://github.com/huggingface/hf_transfer@better_error_windows#egg=hf_transfer
Collecting hf_transfer
Cloning https://github.com/huggingface/hf_transfer (to revision better_error_windows) to c:\users\dl335\appdata\local\temp\pip-install-mobceim8\hf-transfer_2236cf29a2ae4c7899a2bbec52b452e9
Running command git clone --filter=blob:none --quiet https://github.com/huggingface/hf_transfer 'C:\Users\DL335\AppData\Local\Temp\pip-install-mobceim8\hf-transfer_2236cf29a2ae4c7899a2bbec52b452e9'
Running command git checkout -b better_error_windows --track origin/better_error_windows
branch 'better_error_windows' set up to track 'origin/better_error_windows'.
Switched to a new branch 'better_error_windows'
Resolved https://github.com/huggingface/hf_transfer to commit d330fc97c13e7b64e1b0bffb93820aa89ce72740
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... error
error: subprocess-exited-with-error
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
Cargo, the Rust package manager, is not installed or is not on PATH.
This package requires Rust and Cargo to compile extensions. Install it through
the system's package manager or via https://rustup.rs/
Checking for Rust toolchain....
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
[notice] A new release of pip is available: 23.0.1 -> 25.0.1
[notice] To update, run: python.exe -m pip install --upgrade pip"
Collecting hf_transfer
Cloning https://github.com/huggingface/hf_transfer (to revision better_error_windows) to c:\users\dl335\appdata\local\temp\pip-install-mobceim8\hf-transfer_2236cf29a2ae4c7899a2bbec52b452e9
Running command git clone --filter=blob:none --quiet https://github.com/huggingface/hf_transfer 'C:\Users\DL335\AppData\Local\Temp\pip-install-mobceim8\hf-transfer_2236cf29a2ae4c7899a2bbec52b452e9'
Running command git checkout -b better_error_windows --track origin/better_error_windows
branch 'better_error_windows' set up to track 'origin/better_error_windows'.
Switched to a new branch 'better_error_windows'
Resolved https://github.com/huggingface/hf_transfer to commit d330fc97c13e7b64e1b0bffb93820aa89ce72740
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... error
error: subprocess-exited-with-error
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
Cargo, the Rust package manager, is not installed or is not on PATH.
This package requires Rust and Cargo to compile extensions. Install it through
the system's package manager or via https://rustup.rs/
Checking for Rust toolchain....
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
[notice] A new release of pip is available: 23.0.1 -> 25.0.1
[notice] To update, run: python.exe -m pip install --upgrade pip"
XDO i just download rust into my c drive?
Fcan you first run this
Fpython.exe -m pip install --upgrade pip
Fthen run that
Fwan 2.1 lora working i just verifieed
Byes i trained it , i was going through your generations and the pomot and in that i found this text in many generations what this thing do ? if it doent manage consistency
B@Dr. Furkan Gözükara
Xi ran this then tried re-installing but still getting same rust error
Fyou must have something wrong in that case
Fduring training
Fyou are using your trained model right?
Byes
Fye i get too
Flet me report
Fso you need to edit bat file and remove hf_transfer line
Band its working well but i wanted to understand the use of the segment yolo part of your prompt to understand its usage in prompt
what is the use of it ?
what is the use of it ?
Xokay i just reported in the github link you sent also
Xseems to be working
Fsegment = manually masking and inpainting with prompt
Fthat we are automating it
Fgreat
Fthanks. i hope this can get fixed
Xis it possible to train with just one image and have consistency in character?
F2 step. so train generate and train again
Fbecause single image usage not enough
XI’m geting an error while downloading Training_model_files.The error message says: 'Could not set the permissions on the file... Error: [Errno 13] Permission denied.' The download continues, but I’m not sure if this will cause issues later.
J@Dr. Furkan Gözükara or anyone else have tried fine-tuning flux on a smartphone photo style? So that when afterwards doing a new fine-tuning on a person, the photos will look more casual/realistic?
I'm trying right now with 170 mixed photos, most from different Instagram profiles, maybe 2/3 of them includes people (not sure if that's smart or not) and otherwise just using Furkans default 48GB Batch size 7 config.
No idea how many steps/epoch is needed, or what the optimal learning rate is.
Using the word "style" as the Class Prompt, also not sure if that's smart.
I'm trying right now with 170 mixed photos, most from different Instagram profiles, maybe 2/3 of them includes people (not sure if that's smart or not) and otherwise just using Furkans default 48GB Batch size 7 config.
No idea how many steps/epoch is needed, or what the optimal learning rate is.
Using the word "style" as the Class Prompt, also not sure if that's smart.
Frelated to your windows folder permissions
Fyou can use as smartphone photo
Fbut more images may weork better
Xwill it affect me during traning?
Fit shouldnt but who knows
Fif windows prevents python to write
For antivirus
Fbut i think should work
F@The90sPope
F
Fthis is how you use FLUX dev on Forge. I generated this image on RTX 5090
F
TI have stripped down system with no antivirus, it's an overclock build for breaking records haha, no antivirus. barebones windows, lets see...
Fbest case
Ti have the scaled model it seems, im on 16gb vram
Ti have fp8
Tif i copy the settings, and try different sampler scheduler combos that are known to work, still black and dots. Tried them all basically. No errors, nothing.
Thmm
Tbecause i actually get an image, it's just not what I prompted, its black image with green dots, no matter what i type in prompt
Feasy your model not supported by forge
Taah, okey, thanks, gonna try something else, what does text inside image good?