End of training

.gitattributes

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README.md

@@ -0,0 +1,85 @@
+---
+base_model: stabilityai/stable-diffusion-2-1-base
+library_name: diffusers
+license: creativeml-openrail-m
+inference: true
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- controlnet
+- diffusers-training
+---
+
+<!-- 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-jackjcoop/first_pet_test
+
+These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
+You can find some example images below.
+
+prompt: image
+![images_0)](./images_0.png)
+prompt: image
+![images_1)](./images_1.png)
+prompt: image
+![images_2)](./images_2.png)
+prompt: image
+![images_3)](./images_3.png)
+prompt: image
+![images_4)](./images_4.png)
+prompt: image
+![images_5)](./images_5.png)
+prompt: image
+![images_6)](./images_6.png)
+prompt: image
+![images_7)](./images_7.png)
+prompt: image
+![images_8)](./images_8.png)
+prompt: image
+![images_9)](./images_9.png)
+prompt: image
+![images_10)](./images_10.png)
+prompt: image
+![images_11)](./images_11.png)
+prompt: image
+![images_12)](./images_12.png)
+prompt: image
+![images_13)](./images_13.png)
+prompt: image
+![images_14)](./images_14.png)
+prompt: image
+![images_15)](./images_15.png)
+prompt: image
+![images_16)](./images_16.png)
+prompt: image
+![images_17)](./images_17.png)
+prompt: image
+![images_18)](./images_18.png)
+prompt: image
+![images_19)](./images_19.png)
+prompt: image
+![images_20)](./images_20.png)
+prompt: image
+![images_21)](./images_21.png)
+
+
+
+## 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]

config.json

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+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.35.0.dev0",
+  "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
+  "attention_head_dim": [
+    5,
+    10,
+    20,
+    20
+  ],
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "class_embed_type": null,
+  "conditioning_channels": 3,
+  "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,
+  "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,
+  "mid_block_type": "UNetMidBlock2DCrossAttn",
+  "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": null,
+  "resnet_time_scale_shift": "default",
+  "transformer_layers_per_block": 1,
+  "upcast_attention": false,
+  "use_linear_projection": true
+}

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