Instructions to use Nailoong/instruct-pix2pix-model-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nailoong/instruct-pix2pix-model-2000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nailoong/instruct-pix2pix-model-2000", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| adam_epsilon: 1.0e-08 | |
| adam_weight_decay: 0.01 | |
| allow_tf32: false | |
| cache_dir: null | |
| center_crop: false | |
| checkpointing_steps: 5000 | |
| checkpoints_total_limit: 1 | |
| conditioning_dropout_prob: 0.05 | |
| crops_coords_top_left_h: 0 | |
| crops_coords_top_left_w: 0 | |
| dataloader_num_workers: 0 | |
| dataset_config_name: null | |
| dataset_name: null | |
| edit_prompt_column: edit_prompt | |
| edited_image_column: edited_image | |
| enable_xformers_memory_efficient_attention: true | |
| gradient_accumulation_steps: 4 | |
| gradient_checkpointing: true | |
| hub_model_id: null | |
| hub_token: null | |
| learning_rate: 5.0e-05 | |
| local_rank: 0 | |
| logging_dir: logs | |
| lr_scheduler: constant | |
| lr_warmup_steps: 0 | |
| max_grad_norm: 1.0 | |
| max_train_samples: null | |
| max_train_steps: 2000 | |
| mixed_precision: fp16 | |
| non_ema_revision: null | |
| num_train_epochs: 2000 | |
| num_validation_images: 4 | |
| original_image_column: input_image | |
| output_dir: /data/heng/instruct_pix2pix/instruct-pix2pix-model-2000 | |
| pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0 | |
| pretrained_vae_model_name_or_path: null | |
| push_to_hub: true | |
| random_flip: true | |
| report_to: tensorboard | |
| resolution: 256 | |
| resume_from_checkpoint: null | |
| revision: null | |
| scale_lr: false | |
| seed: 42 | |
| train_batch_size: 4 | |
| train_data_dir: /data/heng/instruct_pix2pix/only_twenty_for_mouse_picking | |
| use_8bit_adam: false | |
| use_ema: false | |
| vae_precision: fp32 | |
| val_image_url_or_path: null | |
| validation_prompt: null | |
| validation_steps: 100 | |
| variant: null | |