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 +1,49 @@
 ---
+language:
+- en
 license: creativeml-openrail-m
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+inference: true
 ---
+
+Diffuser model for this SD checkpoint:
+https://civitai.com/models/25694/epicrealism
+
+**emilianJR/epiCRealism** is the HuggingFace diffuser that you can use with **diffusers.StableDiffusionPipeline()**.
+
+Examples | Examples | Examples
+---- | ---- | ----
+![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d0ecbdfc-b995-4582-91f6-95b214e9d35e/width=1024/02196-1169503035-Best%20quality,%20masterpiece,%20ultra%20high%20res,%20(photorealistic_1.4),%20raw%20photo,%20((monochrome)),%20((grayscale)),%20black%20and%20white%20photo.jpeg) | ![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/260b9915-c9ca-4461-9d9f-1bec8a5198a4/width=1024/02198-476988828-professional%20portrait%20photograph%20of%20a%20gorgeous%20Norwegian%20girl%20in%20winter%20clothing%20with%20long%20wavy%20blonde%20hair,%20sultry%20flirty%20look,.jpeg) | ![]()
+![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c8ea1b64-241a-41b8-bc73-6346ffa83eea/width=1024/02197-1830217805-(detailed%20face,%20detailed%20eyes,%20clear%20skin,%20clear%20eyes),%20lotr,%20fantasy,%20elf,%20female,%20full%20body,%20looking%20at%20viewer,%20portrait,%20phot.jpeg) | ![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/628fe66f-e43b-4ab9-96f0-30b4fa03975a/width=1024/02200-3203910620-RAW%20photo,%20a%2022-year-old-girl,%20upper%20body,%20selfie%20in%20a%20car,%20blue%20hoodie,%20inside%20a%20car,%20driving,%20(lipstick_0.7),%20soft%20lighting,%20h.jpeg) | ![]()
+-------
+
+
+## 🧨 Diffusers
+
+This model can be used just like any other Stable Diffusion model. For more information,
+please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
+
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "emilianJR/epiCRealism"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+prompt = "YOUR PROMPT"
+image = pipe(prompt).images[0]
+
+image.save("image.png")
+```
+
+## License
+
+This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
+The CreativeML OpenRAIL License specifies: 
+[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)

feature_extractor/preprocessor_config.json

@@ -0,0 +1,28 @@
+{
+  "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": "CLIPFeatureExtractor",
+  "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": "epiCRealism",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "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",
+  "rescale_betas_zero_snr": false,
+  "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": "epiCRealism\\text_encoder",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "eos_token_id": 2,
+  "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": "4.34.1",
+  "vocab_size": 49408
+}

text_encoder/model.onnx

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tokenizer/special_tokens_map.json

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+{
+  "bos_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+  "unk_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer/tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "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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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.21.4",
+  "_name_or_path": "epiCRealism\\unet",
+  "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
+  "attention_head_dim": 8,
+  "attention_type": "default",
+  "block_out_channels": [
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+    640,
+    1280,
+    1280
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "class_embeddings_concat": false,
+  "conv_in_kernel": 3,
+  "conv_out_kernel": 3,
+  "cross_attention_dim": 768,
+  "cross_attention_norm": null,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dropout": 0.0,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": true,
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+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
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+  "time_cond_proj_dim": null,
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+  "time_embedding_type": "positional",
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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
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+  "use_linear_projection": false
+}

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vae_decoder/config.json

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+{
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+  "_diffusers_version": "0.21.4",
+  "_name_or_path": "epiCRealism\\vae",
+  "act_fn": "silu",
+  "block_out_channels": [
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+    256,
+    512,
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+  ]
+}

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vae_encoder/config.json

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+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.21.4",
+  "_name_or_path": "epiCRealism\\vae",
+  "act_fn": "silu",
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