End of training

README.md

@@ -1,19 +1,17 @@
-This directory includes a few sample datasets to get you started.
 
-*   `california_housing_data*.csv` is California housing data from the 1990 US
-    Census; more information is available at:
-    https://developers.google.com/machine-learning/crash-course/california-housing-data-description
+---
+license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- controlnet
+inference: true
+---
+    
+# controlnet-Virus-Proton/SD-with-ControlNet
 
-*   `mnist_*.csv` is a small sample of the
-    [MNIST database](https://en.wikipedia.org/wiki/MNIST_database), which is
-    described at: http://yann.lecun.com/exdb/mnist/
+These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
 
-*   `anscombe.json` contains a copy of
-    [Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet); it
-    was originally described in
-
-    Anscombe, F. J. (1973). 'Graphs in Statistical Analysis'. American
-    Statistician. 27 (1): 17-21. JSTOR 2682899.
-
-    and our copy was prepared by the
-    [vega_datasets library](https://github.com/altair-viz/vega_datasets/blob/4f67bdaad10f45e3549984e17e1b3088c731503d/vega_datasets/_data/anscombe.json).

config.json

@@ -0,0 +1,50 @@
+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.20.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "class_embed_type": null,
+  "conditioning_channels": 3,
+  "conditioning_embedding_out_channels": [
+    16,
+    32,
+    96,
+    256
+  ],
+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "global_pool_conditions": false,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_attention_heads": null,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "projection_class_embeddings_input_dim": null,
+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": 1,
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

diffusion_pytorch_model.bin

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logs/train_controlnet/1692165497.5451295/events.out.tfevents.1692165497.6279ed32b64b.126.1

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logs/train_controlnet/1692165497.5482817/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: prompt
+checkpointing_steps: 500
+checkpoints_total_limit: null
+conditioning_image_column: conditioning_image
+controlnet_model_name_or_path: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: Virus-Proton/demo_pose_dataset
+enable_xformers_memory_efficient_attention: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: Virus-Proton/SD-with-ControlNet
+hub_token: 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
+image_column: image
+learning_rate: 1.0e-05
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 115
+mixed_precision: null
+num_train_epochs: 1
+num_validation_images: 4
+output_dir: /kaggle/working/Model_weights
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+proportion_empty_prompts: 0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: null
+set_grads_to_none: true
+tokenizer_name: null
+tracker_project_name: train_controlnet
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: true
+validation_steps: 100

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