End of training
Browse files- README.md +24 -0
- config.json +50 -0
- diffusion_pytorch_model.bin +3 -0
- images_0_0.png +0 -0
- images_1_0.png +0 -0
- images_2_0.png +0 -0
- logs/train_controlnet/1691394020.085501/events.out.tfevents.1691394020.0e25a4e5f547.2781.1 +3 -0
- logs/train_controlnet/1691394020.0872576/hparams.yml +49 -0
- logs/train_controlnet/events.out.tfevents.1691394020.0e25a4e5f547.2781.0 +3 -0
README.md
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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-AllenQ/model_wireframe
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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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Validation result of 1 round.
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Validation result of 2 round.
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Validation result of 3 round.
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config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.20.0.dev0",
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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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"addition_time_embed_dim": null,
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"attention_head_dim": 8,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"class_embed_type": null,
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"global_pool_conditions": false,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"projection_class_embeddings_input_dim": null,
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": 1,
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"upcast_attention": false,
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"use_linear_projection": false
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}
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diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dcc7d90ab6177cc3d9f39d8a680081d0d58f12f45a71573bd9f37a10ad4b4199
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size 1445259705
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images_0_0.png
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images_1_0.png
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images_2_0.png
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logs/train_controlnet/1691394020.085501/events.out.tfevents.1691394020.0e25a4e5f547.2781.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:e18f51697d0c6cd1f4814f1f014da7a6aeb970cbcbb0dca1d2a36dd2bdfe0ab1
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size 2342
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logs/train_controlnet/1691394020.0872576/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: text
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checkpointing_steps: 500
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checkpoints_total_limit: null
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conditioning_image_column: conditioning_image
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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: Bellaaazzzzz/wireframe
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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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: 10
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max_train_steps: 10
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mixed_precision: null
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num_train_epochs: 1
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num_validation_images: 1
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output_dir: model_wireframe
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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: 512
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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: false
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validation_steps: 3
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logs/train_controlnet/events.out.tfevents.1691394020.0e25a4e5f547.2781.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:527c4737ff99fbe1411486144694c210805faf19c3787b6a1460abc0bac6d3a3
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size 1145623
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