| ## flux-hasui-lora-d4-sigmoid-raw-gs1.0.safetensors | |
| Experimental LoRA for FLUX.1 dev. | |
| Trained with `sd-scripts` (Aug. 11) `sd3` branch. __NOTE:__ This settings requires > 26GB VRAM. Please add `--fp8_base` to enable fp8 training to reduce VRAM usage. | |
| ``` | |
| 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 | |
| ``` | |
| .toml is below. | |
| ```.toml | |
| [general] | |
| flip_aug = true | |
| color_aug = false | |
| [[datasets]] | |
| enable_bucket = true | |
| resolution = [1024,1024] | |
| bucket_reso_steps = 64 | |
| max_bucket_reso = 2048 | |
| min_bucket_reso = 128 | |
| bucket_no_upscale = false | |
| batch_size = 1 | |
| random_crop = false | |
| shuffle_caption = false | |
| [[datasets.subsets]] | |
| image_dir = "path/to/train/images" | |
| num_repeats = 1 | |
| caption_extension = ".txt" | |
| ``` | |
| ## sdxl-negprompt8-v1m.safetensors | |
| Negative embeddings for sdxl. Num vectors per token = 8 | |
| ## stable-cascade-c-lora-hasui-v02.safetensors | |
| Sample of LoRA for Stable Cascade Stage C. | |
| Feb 22, 2024 Update: Fixed a bug that LoRA is not applied to some modules (to_q/k/v and to_out) in Attention. | |
| __This is an experimental model, so the format of the weights may change in the future.__ | |
| - a painting of an anthropomorphic penguin sitting in a cafe reading a book and having a coffee --w 1024 --h 1024 --d 1 | |
|  | |
| - a painting of japanese shrine in winter with snowfall --w 832 --h 1152 --d 1234 | |
|  | |
| This model is trained with 169 images with captions. U-Net only, dim=4, conv_dim=4, alpha=1, lr=1e-3, 4 epochs, mixed precision bf16, 8bit AdamW, batch size 8, resolution 1024x1024 with aspect ratio bucketing. VRAM usage is approximately 22 GB. |