FYI https://
replicate.com/blog/fine-tune
-sdxl
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TOOLS
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Fine-tuning SDXL models on Replicate platform
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Fine-tuning Your Own Model Guide Released
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Check out the blog post to learn more about fine-tuning your own model. Happy hacking!
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Wait for Training Completion Monitor Progress on Replicate
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Wait for training to complete. This should take about 10-15min. You can monitor your progress on http://
replicate.com/trainings. -
Face Detection Training: Automatic Segmentation for Focused Model Learning
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Kick off your training. If you're training on faces, set the `use_face_detection_instead` to True. This will automatically use face segmentation so that training is focused only on the faces in your images.
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Getting Started: Collect 5-6 Images of Your Subject
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To get started, collect your images. You'll want at least 5-6 images of your subject (for more info on sample data, check out our examples https://
github.com/replicate/cog-
sdxl/tree/main/example_datasets
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Fine-tune SDXL with Barbie movie scenes and styles
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You can fine-tune SDXL on styles and faces. Here's a model based on scenes from the Barbie movie: https://
replicate.com/fofr/sdxl-barb
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Fine-tune SDXL open-source image model with your images
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SDXL is the best open-source image model ever created. Now you can fine-tune it with your own images on Replicate.
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Alteryx Designer Resources Enhance Analytics Workflow Efficiency
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Get unstuck and accelerate your success with resources inside Alteryx Designer. Enhance your your workflow development efficiency, simplicity, and accuracy. Read more: https://
ow.ly/SLFW50Puw5S #AlteryxDesigner #AnalyticsResources #AnalyticsHelp -
Groq Achieves 100 Tokens Per Second With Llama-2 70B
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Announcement. @GroqInc is the first to accomplish 100 tokens per second, per user, running @MetaAI Llama-2 at 70B parameter size as an #LLM . No kernels or CUDA libraries necessary! Save thousands of developer hours with our deterministic Compiler methods.
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Open Source Models API Integration with Fine-tuning Capabilities
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Really excited for this integration – not only do they support the top OSS models behind a stable & reliable API, but they're also making it easy to finetune (and then host) your own