You will get Image Generation APIs through Stable Diffusion, FLUX or ComfyUI
Project details
Being an experienced computer vision and generative AI developer having deployed SDXL control-net and upscaler workflows and Stable Diffusion text 2 image custom pipelines. I have already worked on Animation Creation, LoRA loading optimization and writing backend for stable diffusion APIs using Hugging face diffusers as well and have deployed in AWS EC2 Instances and GCP previously. So this familiarity with the backend and expertise in GPU management and MLOPs can prove valuable to your task of improving and optimizing image generation while using the latest in-market technologies.
AI Algorithms
Generative Adversarial Network, StyleGAN, Transformer Model, Variational AutoencoderAI Applications
AI Content Creation, AI Text-to-Image, AI-Generated Art, AI-Generated Video, AIOps, Image Processing, Image-to-Image TranslationAI Development Language
PythonAI Tools
Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlowAI Models
BERT, Midjourney AI, Stable DiffusionWhat's included
| Service Tiers |
Starter
$500
|
Standard
$800
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | ||
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | ||
Model Testing & Optimization | - | ||
Model Tuning | |||
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | |||
Prompt Engineering | - | ||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $500
Additional Revision
+$100
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IS
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It was a pleasure. thanks.
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It's always a pleasure working with Zeeshan the rest of the Dewiz Team. They are experts in AI and are great communicators. I look forward to working with them again .
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Awesome as always thanks
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About Zeeshan
AI/ML| Gen AI| API Expert: Python, LangChain | RAG | ComfyUI | FLUX
100%
Job Success
Rawalpindi, Pakistan - 7:00 pm local time
🏆 𝟰.𝟵/𝟱⭐ 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 𝗥𝗮𝘁𝗶𝗻𝗴
🏆 𝟮+ 𝘆𝗲𝗮𝗿𝘀 of experience in 𝗔𝗜 𝗮𝗻𝗱 𝗜𝗺𝗮𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻.
🏆 Experience working with 𝟴+ Startups
The founders I work with use 𝗦𝗧𝗔𝗕𝗟𝗘 𝗗𝗜𝗙𝗙𝗨𝗦𝗜𝗢𝗡, 𝗦𝗗𝗫𝗟, 𝗖𝗢𝗠𝗙𝗬𝗨𝗜 𝗮𝗻𝗱 𝗢𝗣𝗘𝗡 𝗔𝗜 in their products, with startups working on
● A Stable Diffusion Api for 𝗜𝗡𝗧𝗘𝗥𝗜𝗢𝗥 𝗗𝗘𝗦𝗜𝗚𝗡 based on Hugging face Diffusers.
● ComfyUI Workflows for 𝗖𝗟𝗢𝗧𝗛 𝗦𝗪𝗔𝗣, 𝗙𝗔𝗖𝗘 𝗦𝗪𝗔𝗣.
● 𝗟𝗼𝗥𝗔 𝗧𝗥𝗔𝗜𝗡𝗜𝗡𝗚 through Kohya for SD1.5 and SDXL LoRAs,
● 𝗔𝗨𝗧𝗢 𝗖𝗢𝗡𝗖𝗘𝗔𝗟𝗜𝗡𝗚 through Object Segmentation through 𝗨𝗡𝗲𝘁 𝗮𝗻𝗱 𝗜𝗻𝗣𝗮𝗶𝗻𝘁
⚡︎I can help you if you are thinking:
● 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹 or using pre trained model for real time Object Detection, Segmentation through Yolov8, UNet, ResNet.
● 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 time through Onnx conversion, TensorRT, TensorRT-LLM, Deep Speed.
● To create 𝗜𝗺𝗮𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗔𝗣𝗜𝘀 using Generative AI and Stable Diffusion.
● 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 for product-based image generation using ComfyUI and Automatic A111. Accelerate
● Creating AI based 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 and 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗣𝗜𝘀.
● A full-fledged working product based on 𝗢𝗽𝗲𝗻 𝗔𝗜 𝗔𝗣𝗜 𝗳𝗼𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗼𝗿 𝗢𝗖𝗥.
● Deploying a 𝗟𝗟𝗠 𝗼𝗿 𝗩𝗟𝗠 (𝗖𝗼𝗴𝗩𝗟𝗠, 𝗤𝘄𝗲𝗻 𝗩𝗟) on Cloud for Chatbot development or image captioning.
● Fine tuning or using cutting edge image generation models like 𝗦𝗗𝗫𝗟 𝟯.𝟬, 𝗦𝘁𝗮𝗯𝗹𝗲 𝗖𝗮𝘀𝗰𝗮𝗱𝗲, 𝗦𝗗𝗫𝗟-𝗧𝗨𝗥𝗕𝗢, 𝗟𝗖𝗠 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻, 𝗧𝗲𝘅𝘁𝟮𝘃𝗶𝗱𝗲𝗼 𝗮𝗻𝗱 𝗔𝗻𝗶𝗺𝗮𝘁𝗲𝗱𝗶𝗳𝗳.
● Deploying Models or Applications on 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗚𝗖𝗣, 𝗣𝗮𝗽𝗲𝗿𝘀𝗽𝗮𝗰𝗲, 𝗥𝘂𝗻𝗣𝗼𝗱.
● 𝟭𝟬+ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 based clients Working with me.
You will get:
✬Structure documented code.
✬Working Product.
✬ 24/7 Support with less than 1 hour Response Time.
My 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Includes.
● Python / C++ / Django / Flask / FastAPI
● MERN Stack
● RESTful APIs Development / Postman / Streamlit
● Azure Virtual Machines/ RunPod / GCP Compute Engine
● Git / Docker
● AWS SageMaker / AWS EC2 Instances
● Open AI/ Chat GPT/ LLM
My 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 includes:
● PyTorch & Tensorflow
● Scikit-Learn
● OCR, Object Detection, Object Classification, Segmentation, Segment Anything Model (SAM)
● ROS / Gazebo
● Linux, Windows
My Expertise in 𝗦𝘁𝗮𝗯𝗹𝗲 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜:
● ComfyUI and Automatic A111
● Hugging face Diffusers
● APIs (Flask, FastAPI) around Automatic A111, ComfyUI and Hugging face Diffusers
● SDXL, Stable Cascade Training
● Flux Schenell, Flux Dev, Flux Pro, Flux Openpose, Flux Canny
● Deploying LLM, VLMs ( CogVLM, QwenVL)
● Optimizations through TensorRT, TensorRT-LLM, DeepSpeed
Steps for completing your project
After purchasing the project, send requirements so Zeeshan can start the project.
Delivery time starts when Zeeshan receives requirements from you.
Zeeshan works on your project following the steps below.
Revisions may occur after the delivery date.
Identifying the Tech Stack and Tools
Choosing which API Framework to use and which tool (Automatic A111, Stable Diffusion, ComfyUI) for Image Generation
Code Development
Integrating all the required features according to the plan and the requirements of the client