# This is stable diffusion model, finetuned with a photo of sks cat prompt. 
 {'model_zip': '/servant/jobs/resources/bt1s0uh9ms657kidv624/model.zip', 'pretrained_model_name_or_path': 'stabilityai/stable-diffusion-2', 'pretrained_vae_name_or_path': None, 'revision': None, 'tokenizer_name': None, 'instance_data_dir': '46acd0e0-9395-4df7-bd33-bf05aea2688b', 'class_data_dir': 'cats', 'instance_prompt': 'a photo of sks cat', 'class_prompt': 'a photo of cat', 'save_sample_prompt': None, 'save_sample_negative_prompt': None, 'n_save_sample': 4, 'save_guidance_scale': 7.5, 'save_infer_steps': 20, 'pad_tokens': False, 'with_prior_preservation': True, 'prior_loss_weight': 1.0, 'num_class_images': 200, 'output_dir': 'output', 'seed': None, 'resolution': 512, 'center_crop': False, 'train_text_encoder': False, 'train_batch_size': 2, 'sample_batch_size': 4, 'num_train_epochs': 1, 'max_train_steps': 80, 'gradient_accumulation_steps': 1, 'gradient_checkpointing': False, 'learning_rate': 5e-06, 'scale_lr': False, 'lr_scheduler': 'constant', 'lr_warmup_steps': 0, 'use_8bit_adam': False, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_weight_decay': 0.01, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'push_to_hub': False, 'hub_token': None, 'hub_model_id': None, 'logging_dir': 'logs', 'log_interval': 10, 'save_interval': 10000, 'save_min_steps': 0, 'mixed_precision': None, 'not_cache_latents': False, 'hflip': False, 'local_rank': -1, 'concepts_list': [{'instance_prompt': 'a photo of sks cat', 'class_prompt': 'a photo of cat', 'instance_data_dir': '46acd0e0-9395-4df7-bd33-bf05aea2688b', 'class_data_dir': 'cats'}], 'read_prompts_from_txts': False}

{"license": "mit", "tags": ["stable-diffusion", "text-to-image"], "widget": [{"text": "A sgs cat swimming"}]}
diffusers safetensors stable-diffusion text-to-image license:mit endpoints_compatible diffusers:StableDiffusionPipeline region:us