Fyes
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
Dhttps://huggingface.co/spaces/HumanAIGC/OutfitAnyone This shows much promise impressive
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=16)
Every interesting. Is it stable diffusion based? The fact that they only allow the preset model images to be put in there makes me think there is a pre-prepared controlnet going on but it is very smooth none the less. Thanks for sharing.
Sim from NJ. what exactly you need?
Cdid you test it? What was your result? 
JHey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
https://jillanisofttech.medium.com/redefining-excellence-in-mlops-a-guide-to-optimal-machine-learning-experimentation-environments-0c4ab61905d1
ai
https://jillanisofttech.medium.com/redefining-excellence-in-mlops-a-guide-to-optimal-machine-learning-experimentation-environments-0c4ab61905d1
ai
Medium
By 
Muhammad Ghulam Jillani(Jillani SoftTech), Senior Data Scientist and Machine Learning Engineer
Muhammad Ghulam Jillani(Jillani SoftTech), Senior Data Scientist and Machine Learning EngineerEHey everyone! After doing a lot of work in the generative AI space I want to start investing in training an LLM to process input - like a chatbot as an example
EAny good videos/articles on how to train my own?
Fthis is a good topic. sadly i couldnt find time yet
Ewill report back, i did find this which claims to be the automatic 1111 UI for text models: https://github.com/oobabooga/text-generation-webui
GitHub
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models. - GitHub - oobabooga/text-generation-webui: A Gradio web UI for Large Language Mod...
KHello, I want to replace my AMD graphics card with an Nvidia graphics card for stable diffusion. I wanted to buy a 3080, but since my PSU is 600W, the healthiest and newest generation card I can go for is RTX 4060, but with 8GB VRAM, I'm not sure if it's sufficient for stable diffusion. Therefore, I'm torn between 3060 12GB and 4060 due to VRAM, as I don't have any other alternatives due to my PSU
Ftry to go as much as possible VRAM
Fif your 600 watt is real
Fyou can go with RTX 3090 too
Fat worst you can do some undervoltage
KI consulted with my friend, and he also advised me to upgrade to a 3080 and change the PSU later, which didn't seem unreasonable. However, I'm concerned about the inadequacy of the PSU causing damage to other components in the system.
Fi think it would just shut down pc
KEveryone I asked recommended getting the 3080, and if you also approve, then it would be best for me to go with the 3080
Fhow much vram it has?
K10gb
Fi would buy RTX 4060 - 16 GB
Fmuch better
Flook for it
KI can't buy anything within my budget except 3080
Fi see
Fmaybe used card?
SWhat video card do you have now? I have AMD RX 6800XT 16gb and it handles Lora's training and stable diffusion quite well. The only inconvenience is that I had to install Ubuntu 20.04 on a second disk in order to have hardware acceleration
Fwhat are your second / it speed per iteration speed
JHey Everyone today I am recently sharing my new updated blog post please check and share your feedback.
https://jillanisofttech.medium.com/revolutionizing-llms-with-rag-navigating-the-new-frontier-in-ai-knowledge-and-trust-1b68fc3b53ec
ai
https://jillanisofttech.medium.com/revolutionizing-llms-with-rag-navigating-the-new-frontier-in-ai-knowledge-and-trust-1b68fc3b53ec
ai
Medium
By Muhammad Ghulam Jillani(Jillani SoftTech), Senior Data Scientist and Machine Learning Engineer
Muhammad Ghulam Jillani(Jillani SoftTech), Senior Data Scientist and Machine Learning EngineerKI use rx6600 and my operating system is Linux but I had to use it with docker because it was arch linux. When I installed stable diffusion directly to the system, it did not recognise the video card and worked with the processor. Somehow I managed to run stable diffusion with the video card using docker, but this time 512x512 20 step outputs took 60-90 seconds and after 4-5 outputs, the photos were distorted. Even when I tried with a proper seed and prompt, I kept getting corrupted outputs, and I was getting a 'cuda out of memory' error at the slightest setting change. I thought these speeds were normal, until I talked to someone using stable diffusion with a 3050 mobile graphics card who mentioned that he was getting outputs between 2-5 seconds. That's when I decided that I should definitely switch to NVIDIA.
Ftrue don't waste time with AMD if you are into AI
DPhotorealistic Video Object Insertion
MIsn't there a decent, AI, melody generator that can be used offline and the music will have a beginning and an end? Online services have a bunch, and Wondershare already gives you one for Filmora, but no such thing for offline use? The Audiocraft/MusicGen/Magnet line is forgettable, a disaster what it generates.
Fwe have auto installers for audiocraft plus
Fyou tried it?
FPatreon
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BHello @Furkan Gözükara SECourses do you have notebook for deepfake on your patreon? Interested to suscribe if yes
Fwe have notebook for google colab. and i have auto installer for runpod
Fwhat else you need?
BSorry I am still beginer , for what usage google colab
BBTW your vidéo are so Nice I will still sub to patron on the weekend to support ur good work
Fawesome ty so much
Fto deep fake . actually what we are doing is face transfer
Drevisiting pixart, impressive detail
Fyep it is great model
Fjust needed to trained with more images