End of training

.gitattributes

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+image_control.png filter=lfs diff=lfs merge=lfs -text
+images_0.png filter=lfs diff=lfs merge=lfs -text
+images_1.png filter=lfs diff=lfs merge=lfs -text
+images_2.png filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,30 @@
+
+---
+license: openrail++
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- controlnet
+inference: true
+---
+    
+# controlnet-ortal-le/controlnet-traffic-diffusion-xl-1024
+
+These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
+You can find some example images below.
+prompt: A stop sign surrounded by a sky on a very cloudy day. 
+![images_0)](./images_0.png)
+prompt: A stop sign on a rainy day, under a cloudy sky, with rain falling around
+![images_1)](./images_1.png)
+prompt: The warm sunlight should cast long, soft shadows,
+![images_2)](./images_2.png)
+prompt: The environment should be clear with no cloud cover, allowing the sunlight to illuminate the scene.
+![images_3)](./images_3.png)
+prompt: The scene should reflect the cold and crisp atmosphere of a snowy day
+![images_4)](./images_4.png)
+prompt: The sky should be dark, scattered with stars that twinkle
+![images_5)](./images_5.png)
+

checkpoint-1500/controlnet/config.json

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+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.21.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": 256,
+  "attention_head_dim": [
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+    10,
+    20
+  ],
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+    320,
+    640,
+    1280
+  ],
+  "class_embed_type": null,
+  "conditioning_channels": 3,
+  "conditioning_embedding_out_channels": [
+    16,
+    32,
+    96,
+    256
+  ],
+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 2048,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "global_pool_conditions": false,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_attention_heads": null,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": [
+    1,
+    2,
+    10
+  ],
+  "upcast_attention": null,
+  "use_linear_projection": true
+}

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+  "_diffusers_version": "0.21.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
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+  ],
+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 2048,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
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+  "num_class_embeds": null,
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+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": [
+    1,
+    2,
+    10
+  ],
+  "upcast_attention": null,
+  "use_linear_projection": true
+}

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config.json

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+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.21.0.dev0",
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+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
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+  "attention_head_dim": [
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+  "conditioning_channels": 3,
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+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 2048,
+  "down_block_types": [
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+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
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+  "transformer_layers_per_block": [
+    1,
+    2,
+    10
+  ],
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+  "use_linear_projection": true
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