是否支持 flux schnell 的Lora训练

[sp1cae]

因为我看到 AI-Toolkit。配置中有一个标志，可以将其切换为训练 Schnell 而不是 Dev。
如果支持，请问该如何设置?
以下是我的训练参数设置
model_train_type = "flux-lora"
pretrained_model_name_or_path = "/lora-scripts/sd-models/flux1-schnell.safetensors"
ae = "/lora-scripts/sd-models/ae.safetensors"
clip_l = "/lora-scripts/sd-models/clip_l.safetensors"
t5xxl = "/lora-scripts/sd-models/t5xxl_fp16.safetensors"
timestep_sampling = "sigmoid"
sigmoid_scale = 1
model_prediction_type = "raw"
discrete_flow_shift = 1
loss_type = "l2"
guidance_scale = 1
train_data_dir = "/lora-scripts/train/IMXL_1536X1024"
prior_loss_weight = 0
resolution = "1536,1024"
enable_bucket = false
min_bucket_reso = 256
max_bucket_reso = 2048
bucket_reso_steps = 64
bucket_no_upscale = false
output_name = "IM_SCHNELL_V1"
output_dir = "./output"
save_model_as = "safetensors"
save_precision = "bf16"
save_every_n_epochs = 1
max_train_epochs = 15
train_batch_size = 2
gradient_checkpointing = true
gradient_accumulation_steps = 1
network_train_unet_only = false
network_train_text_encoder_only = false
learning_rate = 0.0001
unet_lr = 0.0001
text_encoder_lr = 0.00001
lr_scheduler = "cosine_with_restarts"
lr_warmup_steps = 0
lr_scheduler_num_cycles = 1
optimizer_type = "AdamW8bit"
network_module = "networks.lora_flux"
network_dim = 64
network_alpha = 64