Initial Upload

.gitattributes

@@ -33,3 +33,10 @@ 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
+controlnet/model.onnx.data filter=lfs diff=lfs merge=lfs -text
+Icon.png filter=lfs diff=lfs merge=lfs -text
+Sample.png filter=lfs diff=lfs merge=lfs -text
+Sample2.png filter=lfs diff=lfs merge=lfs -text
+Sample3.png filter=lfs diff=lfs merge=lfs -text
+Sample4.png filter=lfs diff=lfs merge=lfs -text
+unet/model.onnx.data filter=lfs diff=lfs merge=lfs -text

README.md

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+# Juggernaut XL Hyper - Onnx Olive DirectML Optimized 
+
+## Original Model
+https://civitai.com/models/133005?modelVersionId=471120
+
+## C# Inference Demo
+https://github.com/TensorStack-AI/OnnxStack
+
+```csharp
+// Create Pipeline
+var pipeline = StableDiffusionXLPipeline.CreatePipeline("D:\\Models\\Juggernaut-X-Hyper-onnx");
+
+// Prompt
+var promptOptions = new PromptOptions
+{
+    Prompt = "Illustrate a cheerful barista preparing a cup of coffee behind the counter of a cozy cafe."
+};
+
+// Scheduler Options
+var schedulerOptions = pipeline.DefaultSchedulerOptions with
+{
+    SchedulerType = SchedulerType.Euler,
+    InferenceSteps = 8,
+    GuidanceScale = 0
+};
+
+// Run pipeline
+var result = await pipeline.GenerateImageAsync(promptOptions, schedulerOptions);
+
+// Save Image Result
+await result.SaveAsync("Result.png");
+```
+## Inference Result
+![Intro Image](Sample.png)

controlnet/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.28.0.dev0",
+  "_name_or_path": "C:\\Users\\Deven\\.cache\\huggingface\\hub\\models--RunDiffusion--Juggernaut-X-Hyper\\snapshots\\456332ff7dc50a96438bbc676ed58916642951a3\\unet",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": 256,
+  "attention_head_dim": [
+    5,
+    10,
+    20
+  ],
+  "attention_type": "default",
+  "block_out_channels": [
+    320,
+    640,
+    1280
+  ],
+  "center_input_sample": false,
+  "class_embed_type": null,
+  "class_embeddings_concat": false,
+  "conv_in_kernel": 3,
+  "conv_out_kernel": 3,
+  "cross_attention_dim": 2048,
+  "cross_attention_norm": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
+  ],
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+  "dropout": 0.0,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_attention_heads": null,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 4,
+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
+  "sample_size": 128,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
+  "transformer_layers_per_block": [
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+    2,
+    10
+  ],
+  "up_block_types": [
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "UpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": true
+}

controlnet/model.onnx

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controlnet/model.onnx.data

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model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.28.0.dev0",
+  "_name_or_path": "RunDiffusion/Juggernaut-X-Hyper",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

model_template.json

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+{
+    "Id": "3C23BD80-E694-4AF5-B098-D1682F325102",
+    "FileVersion": "1",
+    "Created": "2024-06-016T00:00:00",
+    "Name": "Juggernaut XL Hyper",
+    "ImageIcon": "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/Icon.png",
+    "Author": "KandooAI",
+    "Description": "Juggernaut Hyper is an optimized version of the Juggernaut model for faster performance on lower-end hardware. It features a rebuilt framework with GPT-4 Vision and a new structure for easier prompting. While some areas like text, male genitalia, and hand poses are still in development, the model aims to deliver high-quality results efficiently. Users are encouraged to refer to the detailed guide for best practices. Regular updates are planned.",
+    "Rank": 310,
+    "Group": "Online",
+    "Template": "SDXL",
+    "Category": "StableDiffusion",
+    "StableDiffusionTemplate": {
+      "PipelineType": "StableDiffusionXL",
+      "ModelType": "Base",
+      "SampleSize": 1024,
+      "TokenizerLength": 768,
+      "DiffuserTypes": [
+        "TextToImage",
+        "ImageToImage",
+        "ImageInpaintLegacy"
+      ],
+      "SchedulerDefaults": {
+        "SchedulerType": "EulerAncestral",
+        "Steps": 8,
+        "StepsMin": 2,
+        "StepsMax": 50,
+        "Guidance": 1.4,
+        "GuidanceMin": 0,
+        "GuidanceMax": 10,
+        "TimestepSpacing": "Linspace",
+        "BetaSchedule": "ScaledLinear",
+        "BetaStart": 0.00085,
+        "BetaEnd": 0.012
+      }
+    },
+    "Precision": "F16",
+    "MemoryMin": 6,
+    "MemoryMax": 14,
+    "DownloadSize": 11.2,
+    "Website": "https://civitai.com/models/133005?modelVersionId=471120",
+    "Repository": "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx",
+    "RepositoryFiles": [
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/controlnet/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/controlnet/model.onnx.data",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/controlnet/config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/scheduler/scheduler_config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/text_encoder/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/text_encoder/config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/text_encoder_2/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/text_encoder_2/config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer/merges.txt",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer/special_tokens_map.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer/tokenizer_config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer/vocab.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer_2/merges.txt",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer_2/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer_2/special_tokens_map.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer_2/tokenizer_config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/tokenizer_2/vocab.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/unet/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/unet/model.onnx.data",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/unet/config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/vae_decoder/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/vae_decoder/config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/vae_encoder/model.onnx",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/vae_encoder/config.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/model_index.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/model_template.json",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/README.md"
+    ],
+    "PreviewImages": [
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/Sample.png",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/Sample2.png",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/Sample3.png",
+      "https://huggingface.co/TensorStack/Juggernaut-X-Hyper-onnx/resolve/main/Sample4.png"
+    ],
+    "Tags": [
+      "GPU",
+      "F16"
+    ]
+  }

scheduler/scheduler_config.json

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+  "use_karras_sigmas": false
+}

text_encoder/config.json

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+  "torch_dtype": "float32",
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