End of training

.gitattributes

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README.md

@@ -0,0 +1,39 @@
+---
+license: creativeml-openrail-m
+library_name: diffusers
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- controlnet
+inference: true
+base_model: runwayml/stable-diffusion-v1-5
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# controlnet-jordandavis/densepose
+
+These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
+You can find some example images below.
+
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

checkpoint-1000/controlnet/config.json

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+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.27.0.dev0",
+  "act_fn": "silu",
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+  "addition_embed_type_num_heads": 64,
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+    640,
+    1280,
+    1280
+  ],
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+  "conditioning_channels": 3,
+  "conditioning_embedding_out_channels": [
+    16,
+    32,
+    96,
+    256
+  ],
+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
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+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
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+  "norm_eps": 1e-05,
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+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": 1,
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

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checkpoint-500/controlnet/config.json

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+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.27.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
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+  ],
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+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
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+  "mid_block_type": "UNetMidBlock2DCrossAttn",
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+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": 1,
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

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config.json

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+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.27.0.dev0",
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+  "addition_embed_type_num_heads": 64,
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+    256
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+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
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+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": 1,
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+  "use_linear_projection": false
+}

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