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Hands-on notebooks for Stable Diffusion & open T2I models — dataset prep → LoRA/DreamBooth fine-tuning → ControlNet/IP-Adapter → batch pipelines → LLM/RAG prompt automation.
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12
commits
feat(conditioning): add ControlNet basics notebook with Canny/Depth/OpenPose
a6d6511View on GitHubfeat(notebooks): add FLUX/Flow-DiT quickstart with memory optimization
39663f4View on GitHubfeat(notebooks): add PixArt-α/DiT architecture deep dive
b4470baView on GitHubfeat(inference): implement SD1.5/SDXL pipelines with memory optimizations
e19de7dView on GitHubfeat(notebooks): add Stable Cascade quickstart with dual-stage inference
e4ae154View on GitHubfeat(notebooks): add LCM/Turbo acceleration with real-time inference demo
c3701e4View on GitHubfeat(configs): add scheduler parameter recipes and guidelines
92e2e3dView on GitHubfeat(notebooks): add SD scheduler/CFG systematic comparison
d26ece2View on GitHubfeat(notebooks): add SD1.5/SDXL quickstart notebook structure
912d5ceView on GitHubfeat(config): add SD quickstart configuration files and test infrastructure
a81fa66View on GitHubchore(setup): initialize project structure and development environment
fd36193View on GitHub