Update README.md / Model Card Update

README.md

@@ -6,13 +6,7 @@ pipeline_tag: text-to-image
 tags:
 - art
 ---
-# Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-
-## Model Details
 
 ### Model Description
 
@@ -79,82 +73,86 @@ If on a local A1111 set up, use the standard <Lora:[name-of-LoRA-Goes-here]:[1]>
 
 ### Interrogation Data
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
 
+{
+    "ss_epoch": "10",
+    "ss_bucket_no_upscale": "False",
+    "ss_total_batch_size": "25",
+    "ss_num_batches_per_epoch": "69",
+    "ss_new_vae_hash": "63aeecb90ff7bc1c115395962d3e803571385b61938377bc7089b36e81e92e2e",
+    "ss_tag_frequency": "{\"meta_lat.json\": {}}",
+    "ss_min_snr_gamma": "3",
+    "ss_caption_dropout_every_n_epochs": "0",
+    "ss_sd_model_hash": "e577480d",
+    "ss_max_token_length": "225",
+    "ss_shuffle_caption": "False",
+    "ss_seed": "4479",
+    "ss_sd_model_name": "v6.safetensors",
+    "ss_reg_dataset_dirs": "{}",
+    "ss_flip_aug": "False",
+    "ss_lr_warmup_steps": "0",
+    "ss_resolution": "(1024, 1024)",
+    "ss_caption_dropout_rate": "0.0",
+    "ss_gradient_checkpointing": "True",
+    "ss_bucket_info": "{\"buckets\": {\"0\": {\"resolution\": [320, 1024], \"count\": 4}, \"1\": {\"resolution\": [384, 1024], \"count\": 2}, \"2\": {\"resolution\": [448, 1024], \"count\": 16}, \"3\": {\"resolution\": [512, 1024], \"count\": 32}, \"4\": {\"resolution\": [576, 1024], \"count\": 72}, \"5\": {\"resolution\": [640, 1024], \"count\": 126}, \"6\": {\"resolution\": [704, 1024], \"count\": 240}, \"7\": {\"resolution\": [768, 1024], \"count\": 182}, \"8\": {\"resolution\": [832, 1024], \"count\": 164}, \"9\": {\"resolution\": [896, 1024], \"count\": 76}, \"10\": {\"resolution\": [960, 1024], \"count\": 38}, \"11\": {\"resolution\": [1024, 320], \"count\": 2}, \"12\": {\"resolution\": [1024, 384], \"count\": 4}, \"13\": {\"resolution\": [1024, 448], \"count\": 2}, \"14\": {\"resolution\": [1024, 512], \"count\": 2}, \"15\": {\"resolution\": [1024, 576], \"count\": 26}, \"16\": {\"resolution\": [1024, 640], \"count\": 42}, \"17\": {\"resolution\": [1024, 704], \"count\": 84}, \"18\": {\"resolution\": [1024, 768], \"count\": 72}, \"19\": {\"resolution\": [1024, 832], \"count\": 52}, \"20\": {\"resolution\": [1024, 896], \"count\": 42}, \"21\": {\"resolution\": [1024, 960], \"count\": 34}, \"22\": {\"resolution\": [1024, 1024], \"count\": 32}}, \"mean_img_ar_error\": 0.0}",
+    "ss_full_fp16": "False",
+    "ss_scale_weight_norms": "None",
+    "ss_mixed_precision": "fp16",
+    "ss_max_grad_norm": "0",
+    "ss_enable_bucket": "True",
+    "ss_network_dropout": "None",
+    "ss_training_comment": "None",
+    "ss_training_finished_at": "1720056618.6869428",
+    "ss_multires_noise_iterations": "6",
+    "ss_random_crop": "False",
+    "ss_num_epochs": "10",
+    "ss_num_reg_images": "0",
+    "ss_network_dim": "32",
+    "ss_network_args": "{\"conv_dim\": \"8\", \"conv_alpha\": \"1\"}",
+    "ss_num_train_images": "1346",
+    "ss_gradient_accumulation_steps": "1",
+    "ss_face_crop_aug_range": "None",
+    "ss_lowram": "False",
+    "ss_vae_name": "sdxl_vae.safetensors",
+    "ss_clip_skip": "None",
+    "ss_max_bucket_reso": "None",
+    "sshs_model_hash": "86886e99d8a83793fe63cc21287344330858888423015fd998cc133c69a18862",
+    "ss_batch_size_per_device": "25",
+    "ss_v2": "False",
+    "ss_unet_lr": "None",
+    "ss_keep_tokens": "0",
+    "ss_color_aug": "False",
+    "ss_noise_offset": "None",
+    "ss_optimizer": "transformers.optimization.Adafactor(scale_parameter=False,relative_step=False,warmup_init=False)",
+    "ss_caption_tag_dropout_rate": "0.0",
+    "ss_base_model_version": "sdxl_base_v0-9",
+    "ss_zero_terminal_snr": "False",
+    "ss_max_train_steps": "690",
+    "ss_multires_noise_discount": "0.3",
+    "ss_learning_rate": "0.001",
+    "ss_adaptive_noise_scale": "None",
+    "ss_network_module": "networks.lora",
+    "ss_steps": "690",
+    "ss_vae_hash": "d636e597",
+    "ss_training_started_at": "1720053253.286365",
+    "ss_sd_scripts_commit_hash": "05811296f6dc987f67f194689e106a326017b9d4",
+    "ss_min_bucket_reso": "None",
+    "ss_output_name": "Lightsource | @0Lightsource | OLS[PonyXL]",
+    "ss_network_alpha": "32",
+    "ss_prior_loss_weight": "1.0",
+    "ss_lr_scheduler": "constant",
+    "ss_new_sd_model_hash": "67ab2fd8ec439a89b3fedb15cc65f54336af163c7eb5e4f2acc98f090a29b0b3",
+    "ss_text_encoder_lr": "None",
+    "ss_cache_latents": "False",
+    "sshs_legacy_hash": "76a48373",
+    "ss_dataset_dirs": "{\"meta_lat.json\": {\"n_repeats\": 2, \"img_count\": 673}}",
+    "ss_session_id": "2268693806"
+}
+
+
+
+[SDXL / PonyXL]
 
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
 
 #### Hardware