content

.gitattributes

@@ -32,3 +32,7 @@ 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/unet_fp16.plan filter=lfs diff=lfs merge=lfs -text
+engine/vae.plan filter=lfs diff=lfs merge=lfs -text
+engine/clip.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
+---
+
+# andite/anything-v4.0 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": "8.5.1",
+    "_cuda_version": "11.6",
+    "_cudnn_version": "7.5",
+    "_onnx2trt_version": "8.5.1",
+    "UNET": {
+        "precision": "fp16",
+        "path": "engine/unet_fp16.plan"
+    },
+    "CLIP": {
+        "path": "engine/clip.plan"
+    },
+    "DE_VAE": {
+        "path": "engine/de_vae.plan"
+    }
+}
+```

engine/clip.plan

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engine/de_vae.plan

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engine/unet_fp16.plan

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model_index.json

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+{
+    "_class_name": "StableDiffusionAccelerated_Base",
+    "_sda_version": "0.1.2",
+    "_trt_version": "8.5.1",
+    "_cuda_version": "11.6",
+    "_cudnn_version": "7.5",
+    "_onnx2trt_version": "8.5.1",
+    "UNET": {
+        "precision": "fp16",
+        "path": "engine/unet_fp16.plan"
+    },
+    "CLIP": {
+        "path": "engine/clip.plan"
+    },
+    "DE_VAE": {
+        "path": "engine/de_vae.plan"
+    }
+}