Software Engineering Courses (SECourses)•2y ago

it asks me to download this dataset, but its a github repo and nothing inside the folder dataset

Mattheus ChediakOP•7/25/24, 11:41 PM

didnt find any file called vitonhd_test_tagged there

Mattheus ChediakOP•7/25/24, 11:48 PM

im downloading from another source, lets see

MMattheus Chediak it asks me to download this dataset, but its a github repo and nothing inside th...

Furkan Gözükara SECourses•7/25/24, 11:52 PM

our vton is here : https://www.patreon.com/posts/86438018

Patreon

1 Click Installer for Automatic1111 SD Web UI, SDXL, ControlNet, Al...

Get more from SECourses: Tutorials, Guides, Resources, Training, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözükara on Patreon

Mattheus ChediakOP•7/25/24, 11:58 PM

oh ok, is it paid?

Mattheus ChediakOP•7/26/24, 12:01 AM

how does it work, if i pay per month, would i be able to learn, download and implement ?

MMattheus Chediak how does it work, if i pay per month, would i be able to learn, download and imp...

Furkan Gözükara SECourses•7/26/24, 12:04 AM

yes

Furkan Gözükara SECourses•7/26/24, 12:04 AM

for 1 month you can download all scripts

Furkan Gözükara SECourses•7/26/24, 12:04 AM

and look their code

Mattheus ChediakOP•7/26/24, 12:05 AM

oh ok, nice

Gazer•7/26/24, 1:47 AM

@Dr. Furkan Gözükara do you have any resources regarding setting up the different SD tools for a multi-gpu setup? Specifically automatic1111 and Onetrainer

Gazer•7/26/24, 1:47 AM

I saw that you have the same multi-gpu setup as myself actually

Gazer•7/26/24, 1:51 AM

I really just want to be able to train or generate images on either one. Not looking to consolidate resources for a single task

Fabricatedgirls•7/26/24, 2:09 AM

hey 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

FFurkan Gözükara SECourses RMBG is best as far as i know

Neo•7/26/24, 3:47 AM

I 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.

FFabricatedgirls hey dumb question, 4090 comes with a power connector that feeds in 4 power cable...

J2_Nedo•7/26/24, 5:16 AM

what PSU is that? I doubt it will work

FFabricatedgirls hey dumb question, 4090 comes with a power connector that feeds in 4 power cable...

daroth•7/26/24, 5:28 AM

you don't need 4. 3 is enough. especially if you undervolt the gpu to like 80%

Mattheus ChediakOP•7/26/24, 11:01 AM

hey i didnt find the linux IDM VTON with gradio and runpod on the patreon, can someone give me some supoprt

__pirate_king__•7/26/24, 11:48 AM

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)

base_model_path = "SG161222/Realistic_Vision_V4.0_noVAE"
vae_model_path = "stabilityai/sd-vae-ft-mse"
image_encoder_path = "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"
ip_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid_sd15.bin", repo_type="model")
ip_plus_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid-plusv2_sd15.bin", repo_type="model")

base_model_path = "SG161222/Realistic_Vision_V4.0_noVAE"
vae_model_path = "stabilityai/sd-vae-ft-mse"
image_encoder_path = "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"
ip_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid_sd15.bin", repo_type="model")
ip_plus_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid-plusv2_sd15.bin", repo_type="model")

My changes:

base_model_path = "RunDiffusion/Juggernaut-X-v10"
vae_model_path = "stabilityai/sd-vae-ft-mse"
image_encoder_path = "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"
ip_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid_sdxl.bin", repo_type="model")
ip_plus_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid-plusv2_sdxl.bin", repo_type="model")

base_model_path = "RunDiffusion/Juggernaut-X-v10"
vae_model_path = "stabilityai/sd-vae-ft-mse"
image_encoder_path = "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"
ip_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid_sdxl.bin", repo_type="model")
ip_plus_ckpt = hf_hub_download(repo_id="h94/IP-Adapter-FaceID", filename="ip-adapter-faceid-plusv2_sdxl.bin", repo_type="model")

Error:

line 80, in generate_image
    image = ip_model_plus.generate(
  File "/venv/lib/python3.10/site-packages/ip_adapter/ip_adapter_faceid.py", line 384, in generate
    prompt_embeds_, negative_prompt_embeds_ = self.pipe.encode_prompt(
ValueError: too many values to unpack (expected 2)

line 80, in generate_image
    image = ip_model_plus.generate(
  File "/venv/lib/python3.10/site-packages/ip_adapter/ip_adapter_faceid.py", line 384, in generate
    prompt_embeds_, negative_prompt_embeds_ = self.pipe.encode_prompt(
ValueError: too many values to unpack (expected 2)

Any help is appreciated.

Mattheus ChediakOP•7/26/24, 1:07 PM

like, 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 ?

FFurkan Gözükara SECourses https://github.com/THUDM/CogVLM2

Sipriyani•7/26/24, 3:11 PM

I 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

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.

UnrealState•7/26/24, 4:10 PM

Question about Rope Pearl. How do I record videos when using the webcam?

dsienra•7/26/24, 4:42 PM

I'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