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paint-with-words-sd
Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
This essentially supercharges the Nvidia eDiffi / SD paint-with-words attempts done for the same thing previously.
Sure, https://github.com/opparco/stable-diffusion-webui-two-shot.git
Also, grab https://github.com/opparco/stable-diffusion-webui-composable-lora.git to allow separate LoRAs for each individual part of the prompt.
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Related posts
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paint with words with loras and multicontrolnet (will pay if needed)
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"Segmentation" ControlNet preprocessor options
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I figured out a way to apply different prompts to different sections of the image with regular Stable Diffusion models and it works pretty well.
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What do you think will be added/created next?
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Will models have to be retrained for when this feature is eventually added into SD?