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26ec30e8 - Ideogram4 lora training (#13861)

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2 days ago
Ideogram4 lora training (#13861) * Ideogram4 DreamBooth LoRA training Add examples/dreambooth/train_dreambooth_lora_ideogram4.py + README + requirements: - DreamBooth LoRA training for Ideogram 4 (flow-matching, dual transformer, Qwen3-VL TE) - nf4 QLoRA and SDNQ fp8 bases: --do_fp8_training trains the fp8 checkpoint in place (scaled matmul), or omit it to dequantize the SDNQ base to bf16 - --disable_training_autocast (Ideogram4's forward is corrupted by autocast) - structured JSON caption support + --upsample_prompt - model card with a validation-image gallery Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Apply style fixes * Fix base model repo reference in Ideogram4 LoRA README * Align Ideogram4 script deps with requirements file --------- Co-authored-by: linoytsaban <linoy.tsaban@gmail.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
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