Exported model to ONNX

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.onnx_data filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,25 @@
 ---
 license: creativeml-openrail-m
+tags:
+  - stable-diffusion
+  - text-to-image
+pinned: true
 ---
+
+# <u>Openjourney v4</u>
+## Trained on +124k Midjourney v4 images, by [PromptHero](https://prompthero.com/?utm_source=huggingface&utm_medium=referral)
+
+Trained on Stable Diffusion v1.5 using +124000 images, 12400 steps, 4 epochs +32 training hours.
+
+💡 [Openjourney-v4 prompts](https://prompthero.com/openjourney-prompts?version=4)
+
+
+Pss... "mdjrny-v4 style" is not necessary anymore (yay!)
+
+🎓 **Want to learn how to train Openjourney? 👉🏼 __[Join our course](https://prompthero.com/academy/dreambooth-stable-diffusion-train-fine-tune-course?utm_source=huggingface&utm_medium=referral)__ 🔥**
+
+<img src="https://s3.us-east-1.amazonaws.com/prompthero-newsletter/Group-66.png" alt="openjourney-v4" width="50%">
+
+# Openjourney Links
+- [Lora version](https://huggingface.co/prompthero/openjourney-lora)
+- [Openjourney Dreambooth](https://huggingface.co/prompthero/openjourney)

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.21.4",
+  "_name_or_path": "openjourney-v4",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.21.4",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "clip_sample_range": 1.0,
+  "dynamic_thresholding_ratio": 0.995,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "thresholding": false,
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}

text_encoder/config.json

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+{
+  "_name_or_path": "openjourney-v4\\text_encoder",
+  "architectures": [
+    "CLIPTextModel"
+  ],
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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",
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+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "vocab_size": 49408
+}

text_encoder/model.onnx

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

unet/config.json

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+{
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+  "_diffusers_version": "0.21.4",
+  "_name_or_path": "openjourney-v4\\unet",
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+  "resnet_time_scale_shift": "default",
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unet/model.onnx

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vae_decoder/config.json

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vae_encoder/config.json

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vae_encoder/model.onnx

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