Duplicate from thibaud/controlnet-sd21-depth-diffusers

Co-authored-by: Thib aud <[email protected]>

.gitattributes

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README.md

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+---
+license: other
+language:
+- en
+tags:
+- art
+- diffusers
+- stable diffusion
+- controlnet
+---
+Here's the first version of controlnet for stablediffusion 2.1 for diffusers
+Trained on a subset of laion/laion-art
+
+License: refers to the different preprocessor's ones.
+
+
+### Depth:
+![<depth> 0](https://huggingface.co/thibaud/controlnet-sd21/resolve/main/example_depth.png)
+
+
+### Misuse, Malicious Use, and Out-of-Scope Use
+
+The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.
+
+
+Thanks 
+- https://huggingface.co/lllyasviel/ControlNet for the implementation and the release of 1.5 models.
+- https://huggingface.co/thepowefuldeez for the conversion script to diffusers

config.json

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+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.15.0.dev0",
+  "_name_or_path": "./depth-sd21",
+  "act_fn": "silu",
+  "attention_head_dim": [
+    5,
+    10,
+    20,
+    20
+  ],
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "class_embed_type": null,
+  "conditioning_embedding_out_channels": [
+    16,
+    32,
+    96,
+    256
+  ],
+  "controlnet_conditioning_channel_order": "rgb",
+  "cross_attention_dim": 1024,
+  "down_block_types": [
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "flip_sin_to_cos": true,
+  "freq_shift": 0,
+  "in_channels": 4,
+  "layers_per_block": 2,
+  "mid_block_scale_factor": 1,
+  "norm_eps": 1e-05,
+  "norm_num_groups": 32,
+  "num_class_embeds": null,
+  "only_cross_attention": false,
+  "projection_class_embeddings_input_dim": null,
+  "resnet_time_scale_shift": "default",
+  "upcast_attention": true,
+  "use_linear_projection": true
+}

diffusion_pytorch_model.bin

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