Upload diffusers format of the 2.1 ckpt

README.md

@@ -28,8 +28,8 @@ Even with the training I found it was still useful to include some other phrases
 **conte** if brush strokes is not doing enough or adding colorful artifacts to images this is another option
 
 # Sample images from the model:
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/patherflightschool.png)
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/RandomPortraits.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/patherflightschool.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/RandomPortraits.png)
 
 # File Versions and Comparison Details
 All model versions are trained using a hand labeled image set of 556 images with black/white backgrounds and flipped versions of the same images
@@ -38,24 +38,24 @@ Any model versions with **pploss** in the name were trained with prior preservat
 
 **1.5 trained model vs 1.4 trained model and hypernetwork presence**
 
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/1.4_vs_1.5_comparrison.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/1.4_vs_1.5_comparrison.png)
 
 **2.0 trained model vs 2.1 finetuned model**
 
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/v2.0_vs_v2.1_comparison.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/v2.0_vs_v2.1_comparison.png)
 
 **CFG and SAMPLE STEP comparisons between rc_v1 model files**
 
 (prompt: "a starsectorportrait of a person" sampler: euler_a)
 
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/rc_v1_step_compare.png)
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/rc_v1_cfg_compare.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/rc_v1_step_compare.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/rc_v1_cfg_compare.png)
 
 **Adaptability comparisons between rc_v1 model files**
 
 (prompt: "a starsectorportrait of an alien cat" sampler: euler_a)
 
-![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/images/rc_v1_adaptability.png)
+![output Samples](https://huggingface.co/Severian-Void/Starsector-Portraits/resolve/main/3_IMAGES/rc_v1_adaptability.png)
 
 # Hypernetworks
 Fine tuning hypernetworks to help with various aspects of image generation. 

feature_extractor/preprocessor_config.json

@@ -0,0 +1,20 @@
+{
+  "crop_size": 224,
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "size": 224
+}

model_index.json

@@ -0,0 +1,32 @@
+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.7.2",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerAncestralDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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+{
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+  "_name_or_path": "CompVis/stable-diffusion-safety-checker",
+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
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+    "hidden_act": "quick_gelu",
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+      "1": "LABEL_1"
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+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
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+    "max_position_embeddings": 77,
+    "min_length": 0,
+    "model_type": "clip_text_model",
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+    "num_attention_heads": 12,
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+    "transformers_version": "4.24.0",
+    "typical_p": 1.0,
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+    "vocab_size": 49408
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+    "num_attention_heads": 12,
+    "num_hidden_layers": 12
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
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+    "early_stopping": false,
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+    "eos_token_id": null,
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+    "hidden_act": "quick_gelu",
+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "image_size": 224,
+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
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+    "is_decoder": false,
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+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "clip_vision_model",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 16,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
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+    "output_attentions": false,
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+    "typical_p": 1.0,
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+    "intermediate_size": 4096,
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14
+  }
+}

safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

@@ -0,0 +1,9 @@
+{
+  "_class_name": "EulerAncestralDiscreteScheduler",
+  "_diffusers_version": "0.7.2",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "num_train_timesteps": 1000,
+  "trained_betas": null
+}

text_encoder/config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "openai/clip-vit-large-patch14",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
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+  "hidden_act": "quick_gelu",
+  "hidden_size": 768,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "vocab_size": 49408
+}

text_encoder/pytorch_model.bin

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tokenizer/special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer/tokenizer_config.json

@@ -0,0 +1,34 @@
+{
+  "add_prefix_space": false,
+  "bos_token": {
+    "__type": "AddedToken",
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
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+  "do_lower_case": true,
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "errors": "replace",
+  "model_max_length": 77,
+  "name_or_path": "openai/clip-vit-large-patch14",
+  "pad_token": "<|endoftext|>",
+  "special_tokens_map_file": "./special_tokens_map.json",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": {
+    "__type": "AddedToken",
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

unet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.7.2",
+  "act_fn": "silu",
+  "attention_head_dim": 8,
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "center_input_sample": false,
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "out_channels": 4,
+  "sample_size": 32,
+  "up_block_types": [
+    "UpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ]
+}

unet/diffusion_pytorch_model.bin

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vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.7.2",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
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+  "latent_channels": 4,
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+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 256,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

vae/diffusion_pytorch_model.bin

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