The specific model version is ignored by the API for flux-dev-lora-trainer

[AKyashkin]

I've run a simple version of the training for flux-dev-lora-trainer.

training = replicate.trainings.create(
            version="ostris/flux-dev-lora-trainer:b6af14222e6bd9be257cbc1ea4afda3cd0503e1133083b9d1de0364d8568e6ef",
            input= {
                "steps": 600,
                "lora_rank": 16, 
                "optimizer": "adamw8bit", 
                "batch_size": 1,
                "resolution": "512,768,1024",
                "input_images": S3_URL,
                "autocaption_prefix": "a photo of TOP"
                "autocaption": False,
                "trigger_word": "TOP",
                "learning_rate": 0.0005, 
                "caption_dropout_rate": 0.05, 
                "cache_latents_to_disk": False,
                "gradient_checkpointing": False,
                "wandb_project": "flux_train_replicate",
                "wandb_save_interval": 100,
                "wandb_sample_interval": 100,
            },
            destination="<ORG>/dusya-cat_new_prefix"
        )

As a result, I've got a model that points to the latest version of the flux-dev-lora-trainer (c6e78d2501e8088876e99ef21e4460d0dc121af7a4b786b9a4c2d75c620e300d), not the one I specified.

Am I doing something wrong, or is the API just ignoring the specific model version?