ONNX + Updated Diffuser weights

+ ONNX
+ pt bin weights
updated 32 and 16 safe-tensors

.gitattributes

@@ -33,3 +33,5 @@ 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
+text_encoder_2/model.onnx_data filter=lfs diff=lfs merge=lfs -text
+unet/model.onnx_data filter=lfs diff=lfs merge=lfs -text

model_index.json

@@ -1,6 +1,7 @@
 {
   "_class_name": "StableDiffusionXLPipeline",
   "_diffusers_version": "0.20.0.dev0",
+  "add_watermarker": null,
   "force_zeros_for_empty_prompt": true,
   "scheduler": [
     "diffusers",

text_encoder/config.json

@@ -18,7 +18,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "projection_dim": 768,
-  "torch_dtype": "float16",
+  "torch_dtype": "float32",
   "transformers_version": "4.32.0.dev0",
   "vocab_size": 49408
 }

text_encoder/model.onnx

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text_encoder/pytorch_model.bin

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text_encoder_2/config.json

@@ -18,7 +18,7 @@
   "num_hidden_layers": 32,
   "pad_token_id": 1,
   "projection_dim": 1280,
-  "torch_dtype": "float16",
+  "torch_dtype": "float32",
   "transformers_version": "4.32.0.dev0",
   "vocab_size": 49408
 }

text_encoder_2/model.onnx

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text_encoder_2/model.onnx_data

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text_encoder_2/pytorch_model.bin

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unet/config.json

@@ -64,6 +64,6 @@
     "CrossAttnUpBlock2D",
     "UpBlock2D"
   ],
-  "upcast_attention": null,
+  "upcast_attention": true,
   "use_linear_projection": true
 }

unet/diffusion_pytorch_model.bin

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unet/model.onnx

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unet/model.onnx_data

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vae_decoder/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.20.0.dev0",
+  "_name_or_path": "FFusion/FFusionXL-BASE",
+  "act_fn": "silu",
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+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
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+  "force_upcast": true,
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+  "latent_channels": 4,
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+  "sample_size": 1024,
+  "scaling_factor": 0.13025,
+  "up_block_types": [
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+}

vae_decoder/model.onnx

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vae_encoder/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.20.0.dev0",
+  "_name_or_path": "FFusion/FFusionXL-BASE",
+  "act_fn": "silu",
+  "block_out_channels": [
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+    256,
+    512,
+    512
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+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
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+  "scaling_factor": 0.13025,
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+}

vae_encoder/model.onnx

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