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.gitattributes

@@ -32,3 +32,6 @@ 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
+engine/clip.plan filter=lfs diff=lfs merge=lfs -text
+engine/unet.plan filter=lfs diff=lfs merge=lfs -text
+engine/de_vae.plan filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,44 @@
+
+---
+tags:
+- TensorRT
+- Text2Image
+- Stable Diffusion
+- Image2Image
+- SDA
+---
+
+# burnerbaby/blah converted into TensorRT
+
+<a href="https://github.com/chavinlo/sda-node/"><img src="https://i.imgur.com/fQS926g.png"></a>
+
+Model converted from diffusers into TensorRT for accelerated inference up to 4x faster.
+
+For how to use the model check https://github.com/chavinlo/sda-node
+
+This model was automatically converted by SDA-node
+
+Compilation configuration:
+
+    
+
+```json
+{
+    "_class_name": "StableDiffusionAccelerated_Base",
+    "_sda_version": "0.1.2",
+    "_trt_version": "8.5.3",
+    "_cuda_version": "none",
+    "_cudnn_version": "none",
+    "_onnx2trt_version": "8.5.3",
+    "unet": {
+        "precision": "fp16",
+        "path": "engine/unet.plan"
+    },
+    "clip": {
+        "path": "engine/clip.plan"
+    },
+    "de_vae": {
+        "path": "engine/de_vae.plan"
+    }
+}
+```

engine/clip.plan

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+size 247709263

engine/de_vae.plan

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+size 99942345

engine/unet.plan

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+size 1723248681

model_index.json

@@ -0,0 +1,18 @@
+{
+    "_class_name": "StableDiffusionAccelerated_Base",
+    "_sda_version": "0.1.2",
+    "_trt_version": "8.5.3",
+    "_cuda_version": "none",
+    "_cudnn_version": "none",
+    "_onnx2trt_version": "8.5.3",
+    "unet": {
+        "precision": "fp16",
+        "path": "engine/unet.plan"
+    },
+    "clip": {
+        "path": "engine/clip.plan"
+    },
+    "de_vae": {
+        "path": "engine/de_vae.plan"
+    }
+}

scheduler/scheduler_config.json

@@ -0,0 +1,13 @@
+{
+  "_class_name": "EulerDiscreteScheduler",
+  "_diffusers_version": "0.12.0.dev0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "steps_offset": 1,
+  "trained_betas": null
+}