hey i didnt find the linux IDM VTON with gradio and runpod on the patreon, can someone give me some
hey i didnt find the linux IDM VTON with gradio and runpod on the patreon, can someone give me some supoprt
_Hey guys, from this code -> https://huggingface.co/spaces/multimodalart/Ip-Adapter-FaceID/blob/main/app.py
I need the below part of the code to use juggernaut-x-v10 and ip-adapter-v2-sdxl models, how can I do this?
original code: (from the above link)
My changes:
Error:
Any help is appreciated.
I need the below part of the code to use juggernaut-x-v10 and ip-adapter-v2-sdxl models, how can I do this?
original code: (from the above link)
My changes:
Error:
Any help is appreciated.
Mlike, can i get the github idm-vton repository create a dockerfile and create and endpoint in runpod that runs this dockerfile and just make inference using postman with the respective endpoints for the runpod ? would that work ?
SI think this works amazing, it makes so detailed image captioning. I tried with a few pics, and gpt4 vs Llma3.. I think Llma3 is trained way better than gpt. in every picture of me, llama gave better prompting.
gpt4o
vs
Lma3
gpt4o
The image shows an individual standing in a parking lot. The person is wearing a black t-shirt and grey pants, and has a watch on the left wrist. The face is obscured by a brown rectangle, likely for privacy reasons. In the background, there are parked cars and trees, suggesting this might be near a park or a commercial area.
vs
Lma3
The image shows a man standing in a parking lot. He is wearing a black t-shirt and olive green cargo pants. He has a short haircut and a beard. He is looking directly at the camera with a neutral expression. In the background, there are several cars parked in the lot, and there is a structure that appears to be a part of a building or a canopy. The sky is overcast, suggesting it might be a cloudy day.
UQuestion about Rope Pearl. How do I record videos when using the webcam?
DI'm testing a SD3 full finetune with included kohya_ss SD3 preset, and as you can see is training at 512x512 resolution, even then it consumes my entire vram, is fast but I don't know how will be the quality training at 512x512, the preset comes configured at 512 I think because 1024x1024 will require a lot of vram
DI will share later if the test ends with good results
Unevermind. i installed obs studio virtual camera and all is well.
Fyou can start each thing on each gpu
Fit is easy
Flike SET CUDA_VISIBLE_DEVICES=0
For
FSET CUDA_VISIBLE_DEVICES=1
Feach app will run on each gpu
Fit depends how much power psu can give but i think should work
Fthanks i should make installer and tutorial for them
Fhi it is inside zip file
Fextract it and follow instructions please
MI got it working doc
MThanks for the help
MI supported you guys on patreon
Fthanks a lot
MThank you
Fpatreon rank given
Fdid you try this
Four gradio has export diffusers
Ftry juggernaught export
FCogVLM is supposed to be the state of the art atm
Fi am trying to make work on windows
Fworking but ultra slow
Fgood question
Fdid you try record button?
Fas usual
Fwhen you stop it it should save
Fwhen it comes to VRAM
FOneTrainer best
Dnow I'm training at 1024x1024 and the vram usage is identical what is very wired, the results at 512x512 were not so good, lets see at 1024 now
DI tried onetrainer with sd3 but the results were terrible, the model gets fried and no people likeness at all, the resulting images were terrible full of artifacts
Fit needs research
Fi plan to do but busy got 2 client work right now that i have to finish :d
Dthe loss looks much better at 1024x1024, in onetrainer the loss graph is all over the place, I think there is a bug in onetrainer and sd3 I'm using the default presets on both onetrainer and kohya_ss, at this moment kohya_ss is much better on sd3, my 512x512 test looked a little undertrained but quite good
Floss rates were never meanginful for me
Fwhen training SD 1.5 or SDXL
Tguys i have a big problem that started today and i don't know why, my comfyui is very laggy and the UI is super small, any idea ?
Ti feel like the resolution of the software got altered or something
edit : ok my chrome decided to put comfy ui in 15% scale resolution, super weird, but it fixed it to put it back to 100%
edit : ok my chrome decided to put comfy ui in 15% scale resolution, super weird, but it fixed it to put it back to 100%
Fi was gonan tell this
Dyes may be, but I was able to see some correlation on loss graphs, they tend to get lower over time during training, on onetriner and sd3 the graph looks ridiculous, is a mess goes up and down and the model gets destroyed very quickly
Dkohya_ss on the sd3 branch is very usable, it need some tweaks but is getting there
Fi am still waiting him to fix