Add SD1.5 and RVision1.4 motion modules v14 & v15

config.json

@@ -0,0 +1,64 @@
+{
+  "_class_name": "UNet3DConditionModel",
+  "_diffusers_version": "0.22.0.dev0",
+  "act_fn": "silu",
+  "attention_head_dim": [
+    40,
+    80,
+    160,
+    160
+  ],
+  "block_out_channels": [
+    320,
+    640,
+    1280,
+    1280
+  ],
+  "class_embed_type": null,
+  "cross_attention_dim": 768,
+  "down_block_types": [
+    "CrossAttnDownBlock3D",
+    "CrossAttnDownBlock3D",
+    "CrossAttnDownBlock3D",
+    "DownBlock3D"
+  ],
+  "downsample_padding": 1,
+  "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,
+  "out_channels": 4,
+  "resnet_time_scale_shift": "default",
+  "sample_size": 64,
+  "temporal_module_decoder_only": false,
+  "temporal_module_kwargs": {
+    "attention_block_types": [
+      "Temporal_Self",
+      "Temporal_Self"
+    ],
+    "temporal_position_encoding": true,
+    "temporal_position_encoding_max_len": 24,
+    "use_temporal_conv": false
+  },
+  "temporal_module_mid_block": false,
+  "temporal_module_resolutions": [
+    1,
+    2,
+    4,
+    8
+  ],
+  "up_block_types": [
+    "UpBlock3D",
+    "CrossAttnUpBlock3D",
+    "CrossAttnUpBlock3D",
+    "CrossAttnUpBlock3D"
+  ],
+  "upcast_attention": false,
+  "use_input_temporal_attention": false,
+  "use_linear_projection": false,
+  "use_temporal_module": true
+}

diffusion_pytorch_model.realistic_vision_v1.4.safetensors

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+size 5110177136

diffusion_pytorch_model.safetensors

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+size 5110177136

diffusion_pytorch_model.v14.realistic_vision_v1.4.safetensors

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+size 5110177136

diffusion_pytorch_model.v14.safetensors

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+size 5110177136

scheduler/scheduler_config.json

@@ -0,0 +1,13 @@
+{
+    "_class_name": "DDIMScheduler",
+    "_diffusers_version": "0.22.0.dev0",
+    "beta_end": 0.012,
+    "beta_schedule": "linear",
+    "beta_start": 0.00085,
+    "num_train_timesteps": 1000,
+    "prediction_type": "epsilon",
+    "set_alpha_to_one": true,
+    "steps_offset": 1,
+    "trained_betas": null,
+    "clip_sample": false
+  }