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.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

@@ -0,0 +1,33 @@
+# Juggernaut XL v11 Lightning - Onnx Olive DirectML Optimized 
+
+## Original Model
+https://civitai.com/models/133005?modelVersionId=782002
+
+## C# Inference Demo
+https://github.com/TensorStack-AI/OnnxStack
+
+```csharp
+// Create Pipeline
+var pipeline = StableDiffusionXLPipeline.CreatePipeline("D:\\Models\\Juggernaut-XL-v11-Lightning-onnx");
+
+// Prompt
+var promptOptions = new PromptOptions
+{
+    Prompt = "Generate a 3D render of a space station orbiting a distant planet, with astronauts floating weightlessly outside."
+};
+
+// Scheduler
+var schedulerOptions = new SchedulerOptions
+{
+    GuidanceScale = 2f,
+    InferenceSteps = 8,
+};
+
+// 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

@@ -0,0 +1,72 @@
+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.27.0.dev0",
+  "act_fn": "silu",
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+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": 256,
+  "attention_head_dim": [
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+    10,
+    20
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+  "cross_attention_norm": null,
+  "down_block_types": [
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+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
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+  "dropout": 0.0,
+  "dual_cross_attention": false,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
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+  "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
+  ],
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+    "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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+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+}

text_encoder/config.json

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text_encoder_2/config.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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tokenizer_2/special_tokens_map.json

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tokenizer_2/tokenizer_config.json

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unet/config.json

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