End of training
Browse files- README.md +3 -37
- config.json +1 -1
- diffusion_pytorch_model.safetensors +1 -1
- logs/train_controlnet/1716262416.4774604/events.out.tfevents.1716262416.a831208af279.297.1 +3 -0
- logs/train_controlnet/1716262416.4812777/hparams.yml +50 -0
- logs/train_controlnet/events.out.tfevents.1716262416.a831208af279.297.0 +3 -0
README.md
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---
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license: creativeml-openrail-m
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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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<!-- 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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# 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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prompt: crazing
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prompt: patches
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## Intended uses & limitations
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#### How to use
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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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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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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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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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# 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
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "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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{
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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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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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size 1445157120
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logs/train_controlnet/1716262416.4774604/events.out.tfevents.1716262416.a831208af279.297.1
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version https://git-lfs.github.com/spec/v1
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logs/train_controlnet/1716262416.4812777/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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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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logs/train_controlnet/events.out.tfevents.1716262416.a831208af279.297.0
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version https://git-lfs.github.com/spec/v1
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size 120014
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