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README.md
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## sdxl-negprompt8-v1m.safetensors
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Negative embeddings for sdxl. Num vectors per token = 8
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## flux-hasui-lora-d4-sigmoid-raw-gs1.0.safetensors
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Experimental LoRA for FLUX.1 dev.
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Trained with `sd-scripts` (Aug. 11) `sd3` branch.
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```
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accelerate launch --mixed_precision bf16 --num_cpu_threads_per_process 1 flux_train_network.py --pretrained_model_name_or_path flux1/flux1-dev.sft --clip_l sd3/clip_l.safetensors --t5xxl sd3/t5xxl_fp16.safetensors --ae flux1/ae_dev.sft --cache_latents_to_disk --save_model_as safetensors --sdpa --persistent_data_loader_workers --max_data_loader_n_workers 2 --seed 42 --gradient_checkpointing --mixed_precision bf16 --save_precision bf16 --network_module networks.lora_flux --network_dim 4 --optimizer_type adamw8bit --learning_rate 1e-3 --network_train_unet_only --cache_text_encoder_outputs --cache_text_encoder_outputs_to_disk --highvram --max_train_epochs 4 --save_every_n_epochs 1 --dataset_config hasui_1024_bs1.toml --output_dir flux/lora --output_name lora-name --timestep_sampling sigmoid --model_prediction_type raw --guidance_scale 1.0
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```
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## sdxl-negprompt8-v1m.safetensors
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Negative embeddings for sdxl. Num vectors per token = 8
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