Upload controlnet as PyTorch weights

#2
config.json CHANGED
@@ -1,6 +1,8 @@
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  {
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- "_class_name": "FlaxControlNetModel",
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- "_diffusers_version": "0.16.0.dev0",
 
 
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  "attention_head_dim": 8,
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  "block_out_channels": [
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  320,
@@ -8,6 +10,7 @@
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  1280,
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  1280
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  ],
 
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  "conditioning_embedding_out_channels": [
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  16,
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  32,
@@ -22,12 +25,21 @@
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  "CrossAttnDownBlock2D",
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  "DownBlock2D"
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  ],
 
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  "dropout": 0.0,
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  "flip_sin_to_cos": true,
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  "freq_shift": 0,
 
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  "in_channels": 4,
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  "layers_per_block": 2,
 
 
 
 
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  "only_cross_attention": false,
 
 
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  "sample_size": 32,
 
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  "use_linear_projection": false
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  }
 
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  {
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+ "_class_name": "ControlNetModel",
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+ "_diffusers_version": "0.17.0.dev0",
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+ "_name_or_path": "JFoz/dog-cat-pose",
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+ "act_fn": "silu",
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  "attention_head_dim": 8,
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  "block_out_channels": [
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  320,
 
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  1280,
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  1280
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  ],
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+ "class_embed_type": null,
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  "conditioning_embedding_out_channels": [
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  16,
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  32,
 
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  "CrossAttnDownBlock2D",
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  "DownBlock2D"
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  ],
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+ "downsample_padding": 1,
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  "dropout": 0.0,
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  "flip_sin_to_cos": true,
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  "freq_shift": 0,
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+ "global_pool_conditions": false,
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  "in_channels": 4,
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  "layers_per_block": 2,
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+ "mid_block_scale_factor": 1,
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+ "norm_eps": 1e-05,
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+ "norm_num_groups": 32,
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+ "num_class_embeds": null,
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  "only_cross_attention": false,
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+ "projection_class_embeddings_input_dim": null,
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+ "resnet_time_scale_shift": "default",
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  "sample_size": 32,
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+ "upcast_attention": false,
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  "use_linear_projection": false
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  }
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