PseudoTerminal X commited on
Commit
bd0317f
1 Parent(s): 920db01

Trained for 0 epochs and 400 steps.

Browse files

Trained with datasets ['text-embeds-sdxl', 'training-test']
Learning rate 4e-07, batch size 4, and 4 gradient accumulation steps.
Used DDPM noise scheduler for training with v_prediction prediction type and rescaled_betas_zero_snr=True
Using 'trailing' timestep spacing.
Base model: ptx0/terminus-xl-velocity-v2
VAE: madebyollin/sdxl-vae-fp16-fix

README.md CHANGED
@@ -58,116 +58,12 @@ You may reuse the base model text encoder for inference.
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  ## Datasets
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- ### celebrities
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- - Repeats: 0
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- - Total number of images: 144
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- - Total number of aspect buckets: 3
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  - Resolution: 1.0 megapixels
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  - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### movieposters
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- - Repeats: 0
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- - Total number of images: 208
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### pixel-art
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- - Repeats: 0
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- - Total number of images: 112
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### moviecollection
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- - Repeats: 0
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- - Total number of images: 208
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### ethnic
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- - Repeats: 0
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- - Total number of images: 368
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- - Total number of aspect buckets: 2
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### shutterstock
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- - Repeats: 0
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- - Total number of images: 2608
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### cinemamix-1mp
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- - Repeats: 0
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- - Total number of images: 1104
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- - Total number of aspect buckets: 1
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### nsfw-1024
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- - Repeats: 0
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- - Total number of images: 1328
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### anatomy
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- - Repeats: 5
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- - Total number of images: 2032
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### bg20k-1024
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- - Repeats: 0
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- - Total number of images: 11136
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### yoga
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- - Repeats: 0
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- - Total number of images: 448
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- - Total number of aspect buckets: 2
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### photo-aesthetics
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- - Repeats: 0
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- - Total number of images: 4128
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### text-1mp
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- - Repeats: 5
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- - Total number of images: 1616
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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- ### photo-concept-bucket
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- - Repeats: 0
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- - Total number of images: 70912
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- - Total number of aspect buckets: 3
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- - Resolution: 1.0 megapixels
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- - Cropped: True
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- - Crop style: random
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- - Crop aspect: random
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  ## Datasets
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+ ### training-test
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+ - Repeats: 1
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+ - Total number of images: 192
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+ - Total number of aspect buckets: 17
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  - Resolution: 1.0 megapixels
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  - Cropped: True
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+ - Crop style: corner
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+ - Crop aspect: preserve
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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model_index.json CHANGED
@@ -1,19 +1,27 @@
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- "_diffusers_version": "0.28.0",
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- "_name_or_path": "ptx0/sdxl-base",
 
 
 
 
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  "force_zeros_for_empty_prompt": true,
 
 
 
 
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  "scheduler": [
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  "diffusers",
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- "UniPCMultistepScheduler"
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  "text_encoder": [
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  "text_encoder_2": [
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- "CLIPTextModelWithProjection"
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  "tokenizer": [
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  "transformers",
 
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  {
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  "_class_name": "StableDiffusionXLPipeline",
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  "force_zeros_for_empty_prompt": true,
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+ "image_encoder": [
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+ null,
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+ null
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  "scheduler": [
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  "diffusers",
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  "text_encoder": [
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+ null,
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+ null
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  "text_encoder_2": [
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scheduler/scheduler_config.json CHANGED
@@ -1,17 +1,24 @@
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- "_class_name": "UniPCMultistepScheduler",
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- "_diffusers_version": "0.28.0",
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  "interpolation_type": "linear",
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  "num_train_timesteps": 1000,
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  "prediction_type": "v_prediction",
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  "rescale_betas_zero_snr": true,
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  "sample_max_value": 1.0,
 
 
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  "skip_prk_steps": true,
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- "timestep_spacing": "trailing"
 
 
 
 
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  }
 
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  {
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+ "_class_name": "EulerDiscreteScheduler",
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+ "_diffusers_version": "0.29.0.dev0",
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  "beta_end": 0.012,
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  "beta_schedule": "scaled_linear",
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  "beta_start": 0.00085,
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  "clip_sample": false,
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  "clip_sample_range": 1.0,
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  "dynamic_thresholding_ratio": 0.995,
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+ "final_sigmas_type": "zero",
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  "interpolation_type": "linear",
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  "num_train_timesteps": 1000,
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  "prediction_type": "v_prediction",
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  "rescale_betas_zero_snr": true,
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  "sample_max_value": 1.0,
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+ "sigma_max": null,
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+ "sigma_min": null,
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  "skip_prk_steps": true,
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+ "steps_offset": 0,
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+ "timestep_spacing": "trailing",
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+ "timestep_type": "discrete",
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+ "trained_betas": null,
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+ "use_karras_sigmas": false
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  }
tokenizer/tokenizer_config.json CHANGED
@@ -1,33 +1,30 @@
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- "lstrip": false,
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- "normalized": true,
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- "rstrip": false,
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- "single_word": false
 
 
 
 
 
 
 
 
 
 
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  },
 
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  "clean_up_tokenization_spaces": true,
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  "do_lower_case": true,
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- "eos_token": {
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- "__type": "AddedToken",
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- "content": "<|endoftext|>",
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- "lstrip": false,
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- "normalized": true,
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- "rstrip": false,
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- "single_word": false
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- },
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  "errors": "replace",
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  "model_max_length": 77,
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  "pad_token": "<|endoftext|>",
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  "tokenizer_class": "CLIPTokenizer",
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- "unk_token": {
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- "__type": "AddedToken",
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- "content": "<|endoftext|>",
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- "lstrip": false,
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- "normalized": true,
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- "rstrip": false,
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- "single_word": false
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- }
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  }
 
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+ "added_tokens_decoder": {
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+ "49406": {
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+ "bos_token": "<|startoftext|>",
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  "clean_up_tokenization_spaces": true,
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  "do_lower_case": true,
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+ "eos_token": "<|endoftext|>",
 
 
 
 
 
 
 
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  "errors": "replace",
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  "model_max_length": 77,
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  "pad_token": "<|endoftext|>",
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  "tokenizer_class": "CLIPTokenizer",
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+ "unk_token": "<|endoftext|>"
 
 
 
 
 
 
 
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tokenizer_2/tokenizer_config.json CHANGED
@@ -1,33 +1,38 @@
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  "add_prefix_space": false,
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- "lstrip": false,
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- "normalized": true,
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- "rstrip": false,
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- "single_word": false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "clean_up_tokenization_spaces": true,
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  "do_lower_case": true,
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  "errors": "replace",
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  "model_max_length": 77,
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  "pad_token": "!",
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  "tokenizer_class": "CLIPTokenizer",
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- "lstrip": false,
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- "normalized": true,
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- "single_word": false
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+ "bos_token": "<|startoftext|>",
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  "clean_up_tokenization_spaces": true,
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  "do_lower_case": true,
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+ "eos_token": "<|endoftext|>",
 
 
 
 
 
 
 
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  "errors": "replace",
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  "model_max_length": 77,
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  "pad_token": "!",
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  "tokenizer_class": "CLIPTokenizer",
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+ "unk_token": "<|endoftext|>"
 
 
 
 
 
 
 
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  }
unet/config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "_class_name": "UNet2DConditionModel",
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  "_diffusers_version": "0.29.0.dev0",
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- "_name_or_path": "ptx0/terminus-xl-velocity-v2",
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  "act_fn": "silu",
6
  "addition_embed_type": "text_time",
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  "addition_embed_type_num_heads": 64,
 
1
  {
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  "_class_name": "UNet2DConditionModel",
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  "_diffusers_version": "0.29.0.dev0",
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+ "_name_or_path": "/home/user/training/lite-models/checkpoint-400",
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  "act_fn": "silu",
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  "addition_embed_type": "text_time",
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  "addition_embed_type_num_heads": 64,
vae/config.json CHANGED
@@ -1,6 +1,6 @@
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- "_diffusers_version": "0.22.0.dev0",
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  "act_fn": "silu",
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@@ -18,6 +18,8 @@
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  "norm_num_groups": 32,
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1
  {
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  "_class_name": "AutoencoderKL",
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+ "_diffusers_version": "0.29.0.dev0",
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  "_name_or_path": "madebyollin/sdxl-vae-fp16-fix",
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  "act_fn": "silu",
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  "block_out_channels": [
 
18
  "force_upcast": false,
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  "in_channels": 3,
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  "latent_channels": 4,
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