That is essentially what it does, but it also uses a 1.45gb tile model to help it do that. https://
huggingface.co/lllyasviel/con
trol_v11f1e_sd15_tile
…
CODE
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1.45GB Tile Model Enhances Stable Diffusion Image Generation
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ControlNet Tile Only Available for SD1.5 Currently
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I think Controlnet tile is only available for SD1.5, no one has trained an SDXL version yet.
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RealisticVision XL V3 Multi-ControlNet LoRA Model Released
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I've added a RealisticVision XL V3 model to Replicate with multi-controlnet and lora support: https://
replicate.com/fofr/realvisxl
-v3-multi-controlnet-lora
… Outputs also work great when upscaled with something like Magnific. -
Python Tips and Tricks for Advanced Developers
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5 Python Tips and Tricks that not every developer know about: 1. Python's Lesser-Known Data Structures Explore powerful but lesser-known data structures in the collections module, like deque and namedtuple. 2. Manipulating Python Warnings and Their Handling Customize how
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No-Code and Low-Code Revolution Reshaping Technology
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60-Second Guide to No-Code & Low-Code Revolution! Ever wondered how the No-code and Low-code movement is reshaping technology? https://
youtube.com/watch?v=hkSW1S
COAzQ
… #NoCode #LowCode #TechSimplified #BernardMarr #DigitalCreation #TechForAll -
OpenAI Custom RAG with LangChain: Chat with Videos
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Building an OpenAI Custom RAG with LangChain: The Ultimate Tutorial to Chat with your Videos! Awesome tutorial by @austinbv on how to use Whisper + OpenAI + LangChain to talk to your videos Shows off transcription, LCEL, streaming
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Image Classification with Global Context Vision Transformer Tutorial
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New tutorial on http://
keras.io: Image classification using Global Context Vision Transformer. Works with JAX/TF/PyTorch. -
ColBERT LangChain Integration Guide Easiest Method
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Want to use ColBERT with LangChain? This is the easiest way we know of
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JAX Framework: Transform Your ML Development Expectations
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Anyway, if you haven't explored JAX yet, you really should. It makes you completely change your expectations for ML frameworks 🙂
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Out of the Box Performance Without Optimization Efforts
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It's representative of "out of the box performance", the speed folks who aren't performance experts get when they develop their own models. We have made zero performance optimizations to our model. Also we have found torch compile() rarely ever works, and when it does it may not