Instructions to use nupurkmr9/penguin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nupurkmr9/penguin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nupurkmr9/penguin", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload . with huggingface_hub
Browse files- <new1>.bin +1 -1
- checkpoint-250/optimizer.bin +1 -1
- checkpoint-250/pytorch_model_1.bin +1 -1
- image_0.png +0 -0
- image_1.png +0 -0
- logs/custom-diffusion/1681798185.1987147/events.out.tfevents.1681798185.grogu-1-37.eth.174815.1 +3 -0
- logs/custom-diffusion/1681798185.2027233/hparams.yml +55 -0
- logs/custom-diffusion/1681798392.4848049/events.out.tfevents.1681798392.grogu-1-37.eth.176511.1 +3 -0
- logs/custom-diffusion/1681798392.4883976/hparams.yml +55 -0
- logs/custom-diffusion/events.out.tfevents.1681798185.grogu-1-37.eth.174815.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1681798392.grogu-1-37.eth.176511.0 +3 -0
<new1>.bin
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checkpoint-250/optimizer.bin
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checkpoint-250/pytorch_model_1.bin
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image_0.png
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image_1.png
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logs/custom-diffusion/1681798185.1987147/events.out.tfevents.1681798185.grogu-1-37.eth.174815.1
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logs/custom-diffusion/1681798185.2027233/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: false
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checkpointing_steps: 250
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| 8 |
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checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_cat/
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class_prompt: cat
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concepts_list: null
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dataloader_num_workers: 2
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enable_xformers_memory_efficient_attention: true
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freeze_model: crossattn_kv
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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| 17 |
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hflip: true
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| 18 |
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hub_model_id: nupurkmr9/penguin
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| 19 |
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hub_token: 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
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| 20 |
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initializer_token: ktn+pll+ucd
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| 21 |
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instance_data_dir: ./data/cat
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| 22 |
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instance_prompt: photo of a <new1> cat
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| 23 |
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learning_rate: 1.0e-05
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| 24 |
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local_rank: 0
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logging_dir: logs
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 250
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mixed_precision: null
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modifier_token: <new1>
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noaug: false
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| 33 |
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num_class_images: 200
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| 34 |
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num_train_epochs: 1
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| 35 |
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num_validation_images: 2
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| 36 |
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output_dir: path-to-save-model
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| 37 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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| 38 |
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prior_generation_precision: null
|
| 39 |
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prior_loss_weight: 1.0
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| 40 |
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push_to_hub: true
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| 41 |
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real_prior: true
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| 42 |
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report_to: tensorboard
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| 43 |
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resolution: 512
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| 44 |
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resume_from_checkpoint: null
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| 45 |
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revision: null
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| 46 |
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sample_batch_size: 4
|
| 47 |
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scale_lr: true
|
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seed: 42
|
| 49 |
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set_grads_to_none: false
|
| 50 |
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tokenizer_name: null
|
| 51 |
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train_batch_size: 2
|
| 52 |
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use_8bit_adam: false
|
| 53 |
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validation_prompt: <new1> cat playing with a ball
|
| 54 |
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validation_steps: 500
|
| 55 |
+
with_prior_preservation: true
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logs/custom-diffusion/1681798392.4848049/events.out.tfevents.1681798392.grogu-1-37.eth.176511.1
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logs/custom-diffusion/1681798392.4883976/hparams.yml
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adam_beta1: 0.9
|
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adam_beta2: 0.999
|
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adam_epsilon: 1.0e-08
|
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adam_weight_decay: 0.01
|
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allow_tf32: false
|
| 6 |
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center_crop: false
|
| 7 |
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checkpointing_steps: 250
|
| 8 |
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checkpoints_total_limit: null
|
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class_data_dir: ./real_reg/samples_cat/
|
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class_prompt: cat
|
| 11 |
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concepts_list: null
|
| 12 |
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dataloader_num_workers: 2
|
| 13 |
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enable_xformers_memory_efficient_attention: true
|
| 14 |
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freeze_model: crossattn_kv
|
| 15 |
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gradient_accumulation_steps: 1
|
| 16 |
+
gradient_checkpointing: false
|
| 17 |
+
hflip: true
|
| 18 |
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hub_model_id: nupurkmr9/penguin
|
| 19 |
+
hub_token: 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
|
| 20 |
+
initializer_token: ktn+pll+ucd
|
| 21 |
+
instance_data_dir: ./data/cat
|
| 22 |
+
instance_prompt: photo of a <new1> cat
|
| 23 |
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learning_rate: 1.0e-05
|
| 24 |
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local_rank: 0
|
| 25 |
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logging_dir: logs
|
| 26 |
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lr_scheduler: constant
|
| 27 |
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lr_warmup_steps: 0
|
| 28 |
+
max_grad_norm: 1.0
|
| 29 |
+
max_train_steps: 250
|
| 30 |
+
mixed_precision: null
|
| 31 |
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modifier_token: <new1>
|
| 32 |
+
noaug: false
|
| 33 |
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num_class_images: 200
|
| 34 |
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num_train_epochs: 1
|
| 35 |
+
num_validation_images: 2
|
| 36 |
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output_dir: path-to-save-model
|
| 37 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 38 |
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prior_generation_precision: null
|
| 39 |
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prior_loss_weight: 1.0
|
| 40 |
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push_to_hub: true
|
| 41 |
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real_prior: true
|
| 42 |
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report_to: tensorboard
|
| 43 |
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resolution: 512
|
| 44 |
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resume_from_checkpoint: null
|
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revision: null
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sample_batch_size: 4
|
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scale_lr: true
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seed: 42
|
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tokenizer_name: null
|
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train_batch_size: 2
|
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use_8bit_adam: false
|
| 53 |
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validation_prompt: <new1> cat playing with a ball
|
| 54 |
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validation_steps: 500
|
| 55 |
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with_prior_preservation: true
|
logs/custom-diffusion/events.out.tfevents.1681798185.grogu-1-37.eth.174815.0
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