i am upgrading our app to cogvlm v2
i am upgrading our app to cogvlm v2
Fdmn the models are like 30 40 gb
Many difference ?
Fdownloading models 40 GB 
F
Fbut i am pretty sure it will be best
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
Dwhat is it?
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=16)
FCogVLM image captioning
FGitHub
GPT4V-level open-source multi-modal model based on Llama3-8B - THUDM/CogVLM2
MHey friends! I wan Wondering if someone can help me implement the IDM VTON model to make inference, I tried everything, I'm só frustrated
MI'm having a hard time with it
MIs it possible to run like without comfyui or gradio
MI struggle to find the right checkpoints and reference them to the commands
Fyou can use our gradio app source code easiest way
MHey doc, thanks for answering. But can I use as an api even using with gradio? Would it be possible to create an api for it
Fgradio gives you api
Fbut first you need to start gradio app
MOh nice, I'll try that way
MI found a step by step implementation too
MGitHub
After investigating for 3 days, I got almost all done except for some minor problems. Here is a link of personal made study case of HR-VITON Pre According to explanation from authors: Preprocessing...
MBut there's a lot of broken stuff
Fwell our gradio working you can use its code to implement
MNice
MI'll let you know after I try
MThank you very much
M
Fyou are welcome
Mit asks me to download this dataset, but its a github repo and nothing inside the folder dataset
Mdidnt find any file called vitonhd_test_tagged there
Mim downloading from another source, lets see
FPatreon
Get more from SECourses: Tutorials, Guides, Resources, Training, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözükara on Patreon
Moh ok, is it paid?
Mhow does it work, if i pay per month, would i be able to learn, download and implement ?
Ffor 1 month you can download all scripts
Fand look their code
Moh ok, nice
G@Dr. Furkan Gözükara do you have any resources regarding setting up the different SD tools for a multi-gpu setup? Specifically automatic1111 and Onetrainer
GI saw that you have the same multi-gpu setup as myself actually
GI really just want to be able to train or generate images on either one. Not looking to consolidate resources for a single task
Fhey dumb question, 4090 comes with a power connector that feeds in 4 power cables from PSU but this PC i'm trying to ram it in only has 3 to feed into it
will it work with 3 or is this a retarded question, asked by an idiot
will it work with 3 or is this a retarded question, asked by an idiot
NI use v1.4 of RMBG, it's very good but sometimes leaves a lot of pixelation in the cropping around the foreground objects and sometimes cuts off hair.
Both of these projects are supposed to improve on that. I've had good success with online demos in comparison.
Both of these projects are supposed to improve on that. I've had good success with online demos in comparison.
Jwhat PSU is that? I doubt it will work
Dyou don't need 4. 3 is enough. especially if you undervolt the gpu to like 80%
Mhey 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