newguyme commited on
Commit
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1 Parent(s): 71fcc48

End of training

Browse files
README.md CHANGED
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  ---
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  license: creativeml-openrail-m
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- library_name: diffusers
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
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  - text-to-image
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  - diffusers
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  - controlnet
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- - diffusers-training
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- - stable-diffusion
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- - stable-diffusion-diffusers
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- - text-to-image
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- - diffusers
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- - controlnet
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- - diffusers-training
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- base_model: runwayml/stable-diffusion-v1-5
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  inference: true
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  ---
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-
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- <!-- This model card has been generated automatically according to the information the training script had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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-
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  # controlnet-newguyme/chpt_round
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  These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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- You can find some example images below.
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-
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- prompt: crazing
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- ![images_0)](./images_0.png)
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- prompt: patches
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- ![images_1)](./images_1.png)
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-
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-
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-
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- ## Intended uses & limitations
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-
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- #### How to use
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-
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- ```python
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- # TODO: add an example code snippet for running this diffusion pipeline
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- ```
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-
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- #### Limitations and bias
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-
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- [TODO: provide examples of latent issues and potential remediations]
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-
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- ## Training details
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- [TODO: describe the data used to train the model]
 
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+
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  ---
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  license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
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  - text-to-image
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  - diffusers
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  - controlnet
 
 
 
 
 
 
 
 
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  inference: true
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  ---
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+
 
 
 
 
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  # controlnet-newguyme/chpt_round
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  These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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config.json CHANGED
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  "act_fn": "silu",
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  "addition_embed_type": null,
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  "addition_embed_type_num_heads": 64,
 
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  {
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  "_class_name": "ControlNetModel",
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+ "_diffusers_version": "0.26.0",
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  "act_fn": "silu",
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  "addition_embed_type": null,
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  "addition_embed_type_num_heads": 64,
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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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+ cache_dir: null
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+ caption_column: label_str
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+ checkpointing_steps: 5000
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+ checkpoints_total_limit: null
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+ conditioning_image_column: round_map
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+ controlnet_model_name_or_path: null
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: newguyme/neu_det_caption
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: true
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+ hub_model_id: null
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+ hub_token: null
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+ image_column: image
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+ learning_rate: 1.0e-05
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ lr_warmup_steps: 500
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 360
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+ mixed_precision: null
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+ num_train_epochs: 1
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+ num_validation_images: 4
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+ output_dir: ./chpt_round
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ proportion_empty_prompts: 0
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+ push_to_hub: true
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+ report_to: tensorboard
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+ resolution: 200
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+ resume_from_checkpoint: null
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+ revision: null
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+ scale_lr: false
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+ seed: null
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+ set_grads_to_none: false
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+ tokenizer_name: null
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+ tracker_project_name: train_controlnet
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+ train_batch_size: 1
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+ train_data_dir: null
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+ use_8bit_adam: true
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+ validation_steps: 5000
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+ variant: null
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