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JarvisLabs AI
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Jarvislabs.ai provides a 1-click GPU cloud platform for your AI and DL training.
Spin up modern Nvidia A100, A6000, A5000, Quadro RTX 5000, Quadro RTX 6000 GPU, and more at lower prices in seconds.
Some of the prominent features are
🚀 Get an optimized environment of the popular frameworks (PyTorch, Tensorflow, Fastai, or BYOC).
🚀 Access JupyterLab configured securely.
🚀 SSH/connect to the instance using your favorite IDE.
💰 Pay per minute.
🚀 Scale GPUs, storage, and change GPUs anytime you want.
⏸️ Automatically pause instance through code.
🚀 We offer lower pricing per hour for interruptible workloads and reduced weekly/monthly pricing options for long-term dedicated use.
💬 Talk anytime with the team who built the product. We would love to help you on your Deep learning journey.
🤝 Trusted by 10,000's AI practitioners worldwide.
Spin your DL instance today at cloud.jarvislabs.ai.
Learn more at jarvislabs.ai/docs.
Spin up modern Nvidia A100, A6000, A5000, Quadro RTX 5000, Quadro RTX 6000 GPU, and more at lower prices in seconds.
Some of the prominent features are
🚀 Get an optimized environment of the popular frameworks (PyTorch, Tensorflow, Fastai, or BYOC).
🚀 Access JupyterLab configured securely.
🚀 SSH/connect to the instance using your favorite IDE.
💰 Pay per minute.
🚀 Scale GPUs, storage, and change GPUs anytime you want.
⏸️ Automatically pause instance through code.
🚀 We offer lower pricing per hour for interruptible workloads and reduced weekly/monthly pricing options for long-term dedicated use.
💬 Talk anytime with the team who built the product. We would love to help you on your Deep learning journey.
🤝 Trusted by 10,000's AI practitioners worldwide.
Spin your DL instance today at cloud.jarvislabs.ai.
Learn more at jarvislabs.ai/docs.
ComfyUI - Using Whisper speech node to make images talk(lip sync)! | Tutorial
Hello everyone, in this video we will learn how to make images talk. Yes, you read that right. We will see how to download and install @impactframes 's custom nodes Whisper speech node and Dreamtalk to animate images. We will also build the workflow from the scratch and animate a picture of Ryan Reynolds.
Check out Impact Frames on github: github.com/if-ai
Workflow : github.com/jarvislabsai/comfyui_workflows/blob/main/if_ai_speech.json
Check out our ComfyUI basics playlist: czcams.com/video/GUm0JJ57KC8/video.html&pp=gAQBiAQB
Check out our socials:
Website: jarvislabs.ai/
Discord: discord.gg/sps7qeDKJr
Blogs : jarvislabs.ai/blogs
X: jarvislabsai
LinkedIn: www.linkedin.com/company/jarvislabsai/
Instagram: jarvislabs.ai
Check out Impact Frames on github: github.com/if-ai
Workflow : github.com/jarvislabsai/comfyui_workflows/blob/main/if_ai_speech.json
Check out our ComfyUI basics playlist: czcams.com/video/GUm0JJ57KC8/video.html&pp=gAQBiAQB
Check out our socials:
Website: jarvislabs.ai/
Discord: discord.gg/sps7qeDKJr
Blogs : jarvislabs.ai/blogs
X: jarvislabsai
LinkedIn: www.linkedin.com/company/jarvislabsai/
Instagram: jarvislabs.ai
zhlédnutí: 1 434
Video
How to run llama3 8B & 70B using ollama on JarvisLabs | A quick walkthrough
zhlédnutí 279Před měsícem
Hello everyone, llama3 8B and 70B are the talk of the town in the recent days. We at JarvisLabs have made loading them in ollama faster than before. This is a quick walkthrough demonstrating how you can inference llama3 in ollama on JarvisLabs. Run ollama on JarvisLabs : jarvislabs.ai/templates/ollama Check out our socials: Website: jarvislabs.ai/ Discord: discord.gg/sps7qeDKJr X: j...
ComfyUI: Master Face Swap & Pose Mimicry with IP-Adapter v2 & ControlNet | JarvisLabs
zhlédnutí 3KPřed měsícem
Hello everyone, In this video we will learn how to use IP-Adapter v2 and ControlNet to swap faces and mimic poses in ComfyUI. We'll walk through the steps to set up these tools in ComfyUI and demonstrate their capabilities. We will also go through practical examples to learn what should be done and how mistakes can be avoided. Enjoy!! Workflow : github.com/jarvislabsai/comfyui_workflows/blob/ma...
ComfyUI - Upscale Images upto 8K with SUPIR & Restore Images | JarvisLabs
zhlédnutí 2,8KPřed měsícem
Hello everyone! In this video, we're going to look at how to upscale images to 8K resolution using SUPIR. SUPIR is a tool that has become popular for upscaling images to very high resolutions. We'll go through the features of SUPIR and show you how to use it to increase your images to 8K. By the end, you'll know how to get much higher resolution and detail in your images with SUPIR. Workflow : ...
ComfyUI - Learn how to generate better images with Ollama | JarvisLabs
zhlédnutí 10KPřed měsícem
In this video we will learn how to use the power of LLMs using Ollama and Comfy_IF_AI nodes to generate the best images. Vishnu will also take us through on how to set up ollama in JarvisLabs' instances. Workflow : github.com/jarvislabsai/comfyui_workflows/blob/main/ollama_comfyui.json Check out Ollama: ollama.com/ Check out our ComfyUI basics playlist: czcams.com/video/GUm0JJ57KC8/video.html&p...
ComfyUI - Getting started (part - 4): IP-Adapter | JarvisLabs
zhlédnutí 597Před měsícem
Hello everyone, in our last episode we saw how to build a Stable Cascade workflow. In this video we will see how to use IP-Adapter to have images as prompts, extract style from one image to another and much more! Make sure to like and subscribe to our channel for more ComfyUI videos. Chapters: 0:00 Intro 0:33 Image2Image (first workflow) 2:30 Style Transfer (second workflow) 5:14 Face Swap v1(t...
ComfyUI - Getting Started (part-3): Stable Cascade | JarvisLabs
zhlédnutí 307Před měsícem
In today's video we will look at a simple workflow which utilises the Stable Cascade model. You'll see how to set up the Stable Cascade model in ComfyUI, and adjust the settings to get the best results. Subscribe for more videos!! Chapters: 0:00 Intro 1:13 Sourcing the workflow 2:04 Example workflow 2:28 Text to image workflow 8:34 More examples! 9:13 Image remixing 14:22 Outro Check out our so...
ComfyUI - Getting started (part - 2) : SDXL refiner & ControlNet | JarvisLabs
zhlédnutí 501Před 2 měsíci
Welcome to the part 2 of our ComfyUI series, in this episode we will explore on how to build a SDXL refiner workflow from scratch and also how to use ControlNet. Subscribe for more videos! Chapters: 0:00 Intro 0:44 Building the workflow 8:52 Explanation about SDXL base/refiner workflow 9:39 ControlNet 10:38 Implementing ControlNet 13:24 Outro Check out our socials: Website: jarvislabs.ai/ Disco...
ComfyUI - Getting started: basics (part -1) | JarvisLabs
zhlédnutí 577Před 2 měsíci
Welcome to our first video in our ComfyUI series. In this episode we will go through the basics of ComfyUI. This video will take you through the basics from loading models to generating your first image. This is part 1 of the ComfyUI getting started series. Stay tuned for more in-depth tutorials! Chapters: 0:00 Intro 0:16 Basic workflow 0:35 Building the workflow 4:48 JarvisLabs.ai 5:48 Outro C...
How to Finetune LLM with Axolotl | Tutorial | Walkthrough on JarvisLabs.ai
zhlédnutí 1,7KPřed 2 měsíci
Are you tired of the complexities that are involved in the process of fine-tuning large language models (LLMs)? Axolotl helps us to make this tedious process a lot simpler. Axolotl is a tool that lets you finetune a LLM with less complications with the help of a yaml file. Check more about this in the video. Axolotl Repo : github.com/OpenAccess-AI-Collective/axolotl Check out our socials: Websi...
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zhlédnutí 2KPřed 4 měsíci
Hello everyone, In this video, we share our thoughts on perplexity and the challenges it presents for Google in their ongoing product development. We break down the underlying mechanisms and provide all the details you need to know about this exciting new technology. If you enjoy this video, please give it a like and subscribe for more content like this. Feel free to share it with your friends ...
The architecture of mixtral8x7b - What is MoE(Mixture of experts) ?
zhlédnutí 3,9KPřed 4 měsíci
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zhlédnutí 7KPřed 4 měsíci
Guide to Apple Ferret model. In this video we learn how Ferret brings unique capabilities to MLLM (Multimodal Large Language model) through 2 concepts called Reference and Grounding. We show how you can quickly setup a demo to run Ferret 7B and 13B models on Jarvislabs.ai or on your local server. Github: github.com/apple/ml-ferret Paper: arxiv.org/abs/2310.07704 Steps to set in on a Jarvislabs ...
Exploring the fastest open source LLM for inferencing and serving | VLLM
zhlédnutí 7KPřed 4 měsíci
Hello everyone welcome to our latest video. Today we will explore the open source inferencing and serving LLM, VLLM. Our founder Vishnu Subramanian will take you through on what is VLLM and also how to use them. Connect with us on social media: LinkedIn: www.linkedin.com/company/jarvislabsai/ Instagram: jarvislabs.ai Medium: medium.com/jarvislabs-ai Connect with Vishnu: X: twitte...
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zhlédnutí 390Před 4 měsíci
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zhlédnutí 219Před 5 měsíci
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zhlédnutí 1,1KPřed 3 lety
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I'm way too stupid for this
hello, do you have those workflow pic?
Hi, we have linked the workflow in the description.
is this what they call magic prompt? where ollama model refine user prompt?
This is really amazing !! Great work guys !
The Topic is interesting but (in common with most CZcams Comfy experts, the whole presentation is confusing for the 90% of the audience that has just stumbled upon this. I think to be more successful you need to be clearer about what you want to achieve, why its a good idea. Explain how this JarvisAI fits into this, make it clear what resources need to be downloaded and exactly how in the least problematic way. I dont want to appear too negative as of course you are wanting to be helpful just trying to give some tips how to improve your presentation and hopefully consequently increase subscriber numbers
Awesome. Thanks.
Go around the world to find good comfy tutorials and land back in India ! GREAT PRESENTATION GUYS. If you take requests...can you do one on training your own dream booth. like creating old Indian comic ? cheers and subscribed. b
Sure would love to.
@@JarvislabsAI cant wait. Cheers
Its a wonderful videa, clearly and concisely explained.
Glad you liked it
Still it makes mistake and hallocinates.
They are going to make it for some more time.
@@JarvislabsAI I think it's never guaranteed...and they have already trained on Wikipedia and unreliable data like reddit,and some online blogs, websites.. it will always be useless unless u know the exact answer already.
thats why some call it a feature..
@@JarvislabsAI just to fool people and charge money for wrong information using a glorified tool
I've heard that if you use something other than 1024x1024 for your Empty Latent image node, it will then be less likely to put a watermark. I use 1016x1016.
Hi @joyceracing, we haven't tested that yet. BTW thanks for the information. We will test it out
@@JarvislabsAI your control net image had a watermark
Exactly. This is a known issue.
After two hours, still can't get Inference_Core_MiDaS-DepthMapPreprocessor added to Comfyui to use this workflow. The link associated with the missing node does not work. Where do you get this node?
Hi @DerekShenk , If you tried installing the inference core node via comfyui manager. There seems to be a download issue. No worries, you can install it manually using the following terminal commands Note: Make sure to only copy and paste the parts within the quotation marks (" ") into your terminal 1. Navigate to this file directory : (Command) "cd ComfyUI/custom_nodes" 2. Clone the repo :(command) "git clone github.com/LykosAI/ComfyUI-Inference-Core-Nodes.git" 3. Navigate into the inference core node folder: (Command) "cd /home/ComfyUI/custom_nodes/ComfyUI-Inference-Core-Nodes/" 4. Installing all the requirement : (command) "pip install ." 5. Restart the comfyui server
@@JarvislabsAI Thank you, however I had already followed those steps... git clone... and pip install. After trying three more times to install this inference node, I searched for the node and found it still failed to load when launching Comfyui. The error is " File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Inference-Core-Nodes\__init__.py", line 1, in <module> from inference_core_nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS ModuleNotFoundError: No module named 'inference_core_nodes' I have updated Comfyui. Any suggestions?
Hi @DerekShenk, you might be missing some dependencies, but most of them should be downloaded by running the following commands: 'cd /home/ComfyUI/custom_nodes/ComfyUI-Inference-Core-Nodes/' and 'pip install .' Ensure that you include the dot at the end of the second command to install all the dependencies correctly. If the issue persists, you can visit our website and contact us through the chat feature
@@DerekShenk I have the same error it's wast of time!!!
You do not need the depth map they used. You can use any depth preprocessor.
thanks for the tutorial!! why the workflow operates mostly on the CPU?
Hi @Empaches, we have no idea on why that's happening. We'll check it out and let you know if we can find something to help you.
Thank you 🙂 , great video. I am working on a few updates for this but meanwhile the VHS combine node is not needed for the workflow is just to display the video, since the video gets output in the output folder. I am developing a new video previewer and quality upscaler.🎉
Oh thats great.
Awesome
@@huwhitememes thanks :D
Ollama is superslow, I would like a faster version using LM Studio or similar. Thanks
Noted!
slow or fast isn't that depends which model you are using? phi3 in ollama blazing fast
Is it available for Automatic1111??
Yes Automatic also has SUPIR
Thank you for the workflow.
How do i get the Load Checkpoint?
You can double click and search for load checkpoint node. If you want the checkpoint model. You can download it from this link: huggingface.co/RunDiffusion/Juggernaut-XL-v8/tree/main
Thank you!@@JarvislabsAI
Brilliant stuff mate. I'm looking for some zero shot method for procedural inpainting of jewelry. Right now I'm training SDXL loras but they are always not accurate. Can I inpaint a necklace on a generated model with this method?
Yes, you can use inpainting to add jewelries to generated models. We will also drop a video on inpainting soon.
thanks, but when i star the workflow, red warning comes from IF_PromptMkr: "HTTPConnectionPool(host='localhost', port=11434): Max retries exceeded with url: /api/generate (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10061]" how should i fix it? please
Did you run ollama server?
you don't need llm models in the workflow it is just wasting the very required hardware which is needed to do the real job, upscale. just remove the un-needed nodes.
I cannot get this to run on my laptop, it fails to load into comfyui in manager and manual install. I have a full update on comfy, and I also run the txt file to get all the required files needed, and it still fails. Any idea why? I am running a Asus Rog strix 2024 with 64 gigs of ram, and a 4090 16 gigs Vram card. I have all the requirements needed for ai generations.
Did you try checking the error log to narrow down the issue?
What are VRAM requirements?
Hi, a GPU with a minimum of 12GB VRAM is recommended to run this workflow.
would you please share workflow, thank you
Hi, here's the workflow github.com/jarvislabsai/comfyui_workflows/blob/main/SUPIR_Workflow.json we will make sure to add it to the description.
SUPIR!
I guess, I was pronouncing it as SUPER 😀
Hi, Thank you very much great tutorial ❤
Thanks for creating the node, waiting for your future works 😊
@@JarvislabsAI I made a super update please check it out also my other nodes for talking avatars😉 and thank again for the tutorial ❤️
@@impactframes Sure, we will look into it 🙌
@@JarvislabsAI thank you :)
Hello sir... doees this IF_AI node take lot of time???... for me its taking like 15mins to load for every queue...using RTX3060
It depends on what model you choose. Also try running ollama directly and see how fast it is.
@@JarvislabsAI Thanks, let me try that
Very nice explaination :)
Thanks a lot 😊
Phenomenal
Thanks :)
Hey, this looks great but i have a question. How much it costs to generate this images?
These are all opensource software, so there is not much cost associated with it. If you need a GPU, and the base software setup then you would be paying for the compute. The pricing starts at 0.49$ an hour, and the actual billing happens per minute. jarvislabs.ai/pricing
lol
@@goodchoice4410 why lol?
very very nice man.. tq💓
You're welcome Vicky 😃
Hi, you need to raise the volum of the videos during the editing.....
Sure, we missed it. We will improve it in the upcoming videos. Thanks for your suggestion. Hope you are enjoying the video?
Hi Vishnu, great vide9
Thanks Rishab
Volume is 50% of other CZcams videos.
Thanks for the valuable feedback. We will try to fix it in our upcoming videos.
Hai very good intro video and do you have any plan to provide advanced level comfyUI workflows and if same can be handled for RAM intensive workflows and animation workflows. This should help with people struggling with long animations to be run on their home laptop and also provide a script to see it in browser kind of UI that links to it so we can access any workflows running on server and update. secondly what is your plans on updating the comfyUI backend as very week there is tons of updates with the nodes , comfyUI itself and changes to the installation or procedures. This is critical as when one wants to work on products like TRIPO SR or higher end SDXL models it is really needs higher GPU, RAM and allocations.
Yes we plan to explore more advanced workflows. We will constantly update the ComfyUI installation with the latest features.
Hey Vishnu, thanks for the simple explanations. I'm a designer not a dev,, but seeing this I have a doubt. Does this Ferret model work the same way 'circle something on screen in latest Samsung galaxy phones to search' ? Ultimately it recognises on what we pointed, drawn a box or sketch..right?
Yeah thats right. I have not used Samsung, but the model works in a similar way.
Thanks, great video! Could you do one on text and image input (img2img) inputs? I have a workflow set up, but am getting bad results, I think because the denoise parameter has to be set and is apparently very sensitive. I watched the one about Stability Cascade doing this, but I'd prefer to use SDXL, and the Stability Cascade (part 3) video didn't go into detail about this.
Sure, we will post a video focusing on image inputs. Thanks for commenting :)
Amazing Explanation Vishnu
Thank you.
I have data on my google drive and I want to use that instead of downloading, how do I go about that?
I would recommend downloading data and using them. As localised data can help in increasing the performance.
Great explanation 💐👏
Nice explanation, superb keep goin 🎉🎉🎉
🔥
👌 super
Super clear ah irukunga 🙌❤️ easy ah iruku purinchika..
Usefull
Clear explanations, Keep doing more🎉
Superb keep doing ❤
Awesome ❤ keep doing more!!
It is very usefull,thanks for sharing this 😊
Sprb!!🎉
hank you, it was interesting.