Thanks Dr. Furkan, what would be your recommendation for classification images and the captions for
Thanks Dr. Furkan, what would be your recommendation for classification images and the captions for the style?
M
Mhow can I fix this
Shi,i get black images when i try to generate images from lora trained model , i uninstalled xformers,and disabled it but no help
MI think the checkpoint your using has something to do with the problem
MI found the problem, turns out I didn't have enough storage
H@Furkan Gözükara SECourses when you have to move to new pod is it best to just transfer entire SD folder using Runpodctl?
Hor folder by folder
Fentire folder easier
Fi use the class token to generate classification images with cfg 7
Ffile captions i think necessary when you want to improve quality of the model. for faces not needed. but if you want to teach full body, perhaps clothes and backgrounds can be defined if they are not different in every image
Fwhere did you train the model
HJust tried, takes a very long time
HWget for models is super quick
FHello, I have a problem with controlnet, when I put a skeletal model it gives me a black result
F
Fyep
Fyou dont need pre processor
Fthis is already pre processed
Fand that model i didnt see it
Fwhat is that one
Fyou can watch these 2 tutorials
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PHas anyone encountered this issue with kohya ss? : raceback (most recent call last):
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/gradio/routes.py", line 384, in run_predict
output = await app.get_blocks().process_api(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1024, in process_api
result = await self.call_function(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/gradio/blocks.py", line 836, in call_function
prediction = await anyio.to_thread.run_sync(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/workspace/kohya_ss-linux/lora_gui.py", line 385, in trainmodel
repeats = int(folder.split('')[0])
ValueError: invalid literal for int() with base 10: '.ipynb'
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/gradio/routes.py", line 384, in run_predict
output = await app.get_blocks().process_api(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1024, in process_api
result = await self.call_function(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/gradio/blocks.py", line 836, in call_function
prediction = await anyio.to_thread.run_sync(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/workspace/kohya_ss-linux/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/workspace/kohya_ss-linux/lora_gui.py", line 385, in trainmodel
repeats = int(folder.split('')[0])
ValueError: invalid literal for int() with base 10: '.ipynb'
Fi didnt use kohya yet
Fbut dreambooth of web ui now working perfect
GIn the 4 minute video on how to install new dreambooth extension, it is okay to stop at 3minutes? I installed dreambooth, fixed the requirements but want to access the pod though HTTP, not gradio
JI trained my lora with kohya_ss, but after training got this error
To create a public link, set
Startup time: 19.1s (import gradio: 1.0s, import ldm: 0.5s, other imports: 1.3s, list extensions: 0.3s, load scripts: 0.6s, load SD checkpoint: 6.9s, create ui: 8.3s).
Failed to match keys when loading Lora /home/ubuntu/SD/stable-diffusion-webui/models/Lora/last-000009.safetensors: ['lora_unet_down_blocks_0_resnets_0_time_emb_proj.alpha', 'lora_unet_down_blocks_0_resnets_0_time_emb_proj.lora_down.weight'
To create a public link, set
share=Truelaunch()Startup time: 19.1s (import gradio: 1.0s, import ldm: 0.5s, other imports: 1.3s, list extensions: 0.3s, load scripts: 0.6s, load SD checkpoint: 6.9s, create ui: 8.3s).
Failed to match keys when loading Lora /home/ubuntu/SD/stable-diffusion-webui/models/Lora/last-000009.safetensors: ['lora_unet_down_blocks_0_resnets_0_time_emb_proj.alpha', 'lora_unet_down_blocks_0_resnets_0_time_emb_proj.lora_down.weight'
Jso the keys were not matched after training
Fyou can use that
Galso is the sanity sample prompt going to be using data from v1.5 to train?
GI mean alongside my training and class images, is the sanity sample prompt also relevant as it will be pulling sampling material to train?
Fno it will use your in training model
Fsanity is relevant to determine
Fmodel started become overtraining or not
Fthis tutorial is really good one
GOh so would it be a good idea to use the instance prompt also in the sanity prompt?
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Our Discord : https://discord.gg/HbqgGaZVmr. The most advanced tutorial of Stable Diffusion Dreambooth Training. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on https://www.patreon.com/SECourses
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GAh thanks will take a look. Keep getting confused with sanity, instance and class prompt!
Banybody have a working auto1111 webui for google colab which uses all storage of GDRIVE?
Bthe fast dreambooth last ben wasn't working , yesterday when i tried
Bsorry i meant the *fast stable diffusion web ui
Funfortunately not
Fusing same as on pc is only possible on runpods
Bhmm, it was working perfectly fine like 2days back. now it isn't.
HYeh I’m using the fast notebook on Runpod now
HMaybe he released a colab update?
Byeah, like he mentioned abouve, runpod notebook won't be compatible with the colab notebook