v0.8.4 #1136
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v0.8.4 #1136
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remove missing import, and remove unused imports
Update IPEX Libs
fix broken import in svd_merge_lora script
Device support improvements (MPS)
Fix IPEX support and add XPU device to device_utils
…1061) * Update train_util.py Modifying to attempt enable multi GPU inference * Update train_util.py additional VRAM checking, refactor check_vram_usage to return string for use with accelerator.print * Update train_network.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py remove sample image debug outputs * Update train_util.py * Update train_util.py * Update train_network.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_network.py * Update train_util.py * Update train_network.py * Update train_network.py * Update train_network.py * Cleanup of debugging outputs * adopt more elegant coding Co-authored-by: Aarni Koskela <[email protected]> * Update train_util.py Fix leftover debugging code attempt to refactor inference into separate function * refactor in function generate_per_device_prompt_list() generation of distributed prompt list * Clean up missing variables * fix syntax error * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * true random sample image generation update code to reinitialize random seed to true random if seed was set * true random sample image generation * simplify per process prompt * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_util.py * Update train_network.py * Update train_network.py * Update train_network.py --------- Co-authored-by: Aarni Koskela <[email protected]>
Gradual latent hires fix
Dev device support
Fix dylora create_modules error when training sdxl
Resize lora add new rank for conv
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Very nice work with highvram How much speed up it leads and how much more VRAM it uses? |
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It depends on |
I never used vae_batch_size. Only used regular batch size. Any difference? |
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haha i didnt know until all this time thank you so much for this amazing info |
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Sorry the documents seem to lack this option... This option is a bit old and exists from v0.5.3. https://github.com/kohya-ss/sd-scripts/releases/tag/v0.5.3 |
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