for me same results and 3x faster
for me same results and 3x faster
Fsame results doesnt make sense weird :
Fi should test today
Vactually 1024 might be worse
Vflux loves 512
Vbucketing though
Vi have images that ar 3000pixels
Vand results are great
Fwhat do you mean
Vlike i train very high quality images
Vthey bucket down to 512
Vand results are amazing
Fso they are basically 512
Fdownscaled to
Vyes, but i also tested with 1024, and 512 is much better
Fi am gonna test thanks and weird :d
Vvery weird yes
Vbut flux for some reason loves 512 better
Vall good
Valso have you tried clip skip none vs clips skip 1?
Fnot yet
Fstill testing other params :d
Vtry clip skip 0 when you get a chance, i don't like kohya clip skip 1
Feach training is like 7 hours
V
Vvery long mine are usually less than 1 hour
F
Fi am updating versions on the server now
FTo not wait an entire day I am going to train on 2x RTX 4080 , 1024x1024 and 512x512 resolutions
Results will be in 8 - 9 hours hopefully published - got to sleep
Results will be in 8 - 9 hours hopefully published - got to sleep
Fdmn huge vram drop and speed increase with newest driver
F
Ffrom 44 gb to 27 staggering
Ffrom 8.4 second to 4.4 second
Ftesting 24 gb config
Fhuge news : https://www.reddit.com/r/StableDiffusion/comments/1ey7nwy/flux_lora_rank_128_kohya_ss_gui_training_for_8bit/
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Aupvoted
Fthanks. testing right now
F512px uses only 2gb lesser vram
Fbut 2x faster
KDid you update driver manually on massed compute?
Fyep
Falso i had to prevent kohya to overwrite it
Fmessage.txt4.22KB
Fgui.sh file
RHi @Dr. Furkan Gözükara, if today is your birthday and you have unlimited budget, which GPU would you buy?
Ffrom consumer grade rtx 4090
GGuys I am training on my 3090 ti 24GB,(I also own a 48GB A6000 should I use that or its the same result?) Do I have to change anything on instance prompts or parameters? Those are all blank.
All i do is run kohya, load the 24gb json settings, change directories to my tensors, images and then hit train, i get errors:
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\queueing.py", line 532, in process_events response = await route_utils.call_process_api(
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
output = await app.get_blocks().process_api(
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\blocks.py", line 1928, in process_api
result = await self.call_function(
\Kohya\kohya_ss\venv\lib\site-packages\gradio\blocks.py", line 1514, in call_function
prediction = await anyio.to_thread.run_sync(
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\anyio_backends_asyncio.py", line 2177, in run_sync_in_worker_thread
return await future
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\anyio_backends_asyncio.py", line 859, in run
result = context.run(func, args)
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\utils.py", line 832, in wrapper
response = f(args, **kwargs)
\Desktop\Kohya\kohya_ss\kohya_gui\lora_gui.py", line 1171, in train_model
"network_module": network_module,
\Desktop\Kohya\kohya_ss\kohya_gui\lora_gui.py", line 1171, in train_model
"network_module": network_module,
UnboundLocalError: local variable 'network_module' referenced before assignment
All i do is run kohya, load the 24gb json settings, change directories to my tensors, images and then hit train, i get errors:
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\queueing.py", line 532, in process_events response = await route_utils.call_process_api(
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
output = await app.get_blocks().process_api(
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\blocks.py", line 1928, in process_api
result = await self.call_function(
\Kohya\kohya_ss\venv\lib\site-packages\gradio\blocks.py", line 1514, in call_function
prediction = await anyio.to_thread.run_sync(
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\anyio_backends_asyncio.py", line 2177, in run_sync_in_worker_thread
return await future
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\anyio_backends_asyncio.py", line 859, in run
result = context.run(func, args)
\Desktop\Kohya\kohya_ss\venv\lib\site-packages\gradio\utils.py", line 832, in wrapper
response = f(args, **kwargs)
\Desktop\Kohya\kohya_ss\kohya_gui\lora_gui.py", line 1171, in train_model
"network_module": network_module,
\Desktop\Kohya\kohya_ss\kohya_gui\lora_gui.py", line 1171, in train_model
"network_module": network_module,
UnboundLocalError: local variable 'network_module' referenced before assignment
GAny other settings I need to change before I hit train button?
Pare you using KohyaSS or SD scripts without GUI ? i cant find Checkbox for Flux in Kohya SD3-FLux branch. Only XL and SD 3 ones.
Mloaad the flux model fist, and make sure you're in the sd3 flux branch
