Add files

controlnet-tile/config.json

@@ -0,0 +1,52 @@
+{
+  "_class_name": "ControlNetModel",
+  "_diffusers_version": "0.27.2",
+  "_name_or_path": "lllyasviel/control_v11f1e_sd15_tile",
+  "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
+  "attention_head_dim": 8,
+  "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": 768,
+  "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": false
+}

controlnet-tile/diffusion_pytorch_model.safetensors

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image2normal/feature_extractor/preprocessor_config.json

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+{
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+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
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+    "width": 224
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+}

image2normal/image_encoder/config.json

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+{
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "architectures": [
+    "CLIPVisionModelWithProjection"
+  ],
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 1024,
+  "image_size": 224,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "model_type": "clip_vision_model",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 14,
+  "projection_dim": 768,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.3"
+}

image2normal/image_encoder/model.safetensors

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image2normal/model_index.json

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+{
+  "_class_name": "StableDiffusionImageCustomPipeline",
+  "_diffusers_version": "0.27.2",
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    "transformers",
+    "CLIPVisionModelWithProjection"
+  ],
+  "noisy_cond_latents": false,
+  "requires_safety_checker": true,
+  "safety_checker": [
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+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

image2normal/scheduler/scheduler_config.json

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+{
+  "_class_name": "EulerAncestralDiscreteScheduler",
+  "_diffusers_version": "0.27.2",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+  "prediction_type": "epsilon",
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+  "steps_offset": 1,
+  "timestep_spacing": "linspace",
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+}

image2normal/unet/config.json

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+{
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+  "_diffusers_version": "0.27.2",
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "act_fn": "silu",
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+  "cross_attention_norm": null,
+  "down_block_types": [
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+  "mid_block_only_cross_attention": null,
+  "mid_block_scale_factor": 1,
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+  "num_attention_heads": null,
+  "num_class_embeds": null,
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+  "out_channels": 4,
+  "projection_class_embeddings_input_dim": null,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
+  "sample_size": 64,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
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+  "time_embedding_type": "positional",
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+  "transformer_layers_per_block": 1,
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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ],
+  "upcast_attention": false,
+  "use_linear_projection": false
+}

image2normal/unet/diffusion_pytorch_model.safetensors

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image2normal/unet_state_dict.pth

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image2normal/vae/config.json

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+  "_diffusers_version": "0.27.2",
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "act_fn": "silu",
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+  "scaling_factor": 0.18215,
+  "up_block_types": [
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image2normal/vae/diffusion_pytorch_model.safetensors

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img2mvimg/feature_extractor/preprocessor_config.json

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+{
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+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
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+    "width": 224
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+  "do_center_crop": true,
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+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+  }
+}

img2mvimg/image_encoder/config.json

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+{
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "architectures": [
+    "CLIPVisionModelWithProjection"
+  ],
+  "attention_dropout": 0.0,
+  "dropout": 0.0,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 1024,
+  "image_size": 224,
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+  "num_channels": 3,
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+  "patch_size": 14,
+  "projection_dim": 768,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3"
+}

img2mvimg/image_encoder/model.safetensors

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img2mvimg/model_index.json

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+{
+  "_class_name": "StableDiffusionImage2MVCustomPipeline",
+  "_diffusers_version": "0.27.2",
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "condition_offset": true,
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
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+  ]
+}

img2mvimg/scheduler/scheduler_config.json

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+{
+  "_class_name": "DDIMScheduler",
+  "_diffusers_version": "0.27.2",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+  "timestep_spacing": "leading",
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+}

img2mvimg/unet/config.json

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img2mvimg/unet/diffusion_pytorch_model.safetensors

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img2mvimg/unet_state_dict.pth

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img2mvimg/vae/config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.27.2",
+  "_name_or_path": "lambdalabs/sd-image-variations-diffusers",
+  "act_fn": "silu",
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+    256,
+    512,
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+    "DownEncoderBlock2D",
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img2mvimg/vae/diffusion_pytorch_model.safetensors

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realesrgan-x4.onnx

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v1-inference.yaml

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+model:
+  base_learning_rate: 1.0e-04
+  target: ldm.models.diffusion.ddpm.LatentDiffusion
+  params:
+    linear_start: 0.00085
+    linear_end: 0.0120
+    num_timesteps_cond: 1
+    log_every_t: 200
+    timesteps: 1000
+    first_stage_key: "jpg"
+    cond_stage_key: "txt"
+    image_size: 64
+    channels: 4
+    cond_stage_trainable: false   # Note: different from the one we trained before
+    conditioning_key: crossattn
+    monitor: val/loss_simple_ema
+    scale_factor: 0.18215
+    use_ema: False
+
+    scheduler_config: # 10000 warmup steps
+      target: ldm.lr_scheduler.LambdaLinearScheduler
+      params:
+        warm_up_steps: [ 10000 ]
+        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
+        f_start: [ 1.e-6 ]
+        f_max: [ 1. ]
+        f_min: [ 1. ]
+
+    unet_config:
+      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
+      params:
+        image_size: 32 # unused
+        in_channels: 4
+        out_channels: 4
+        model_channels: 320
+        attention_resolutions: [ 4, 2, 1 ]
+        num_res_blocks: 2
+        channel_mult: [ 1, 2, 4, 4 ]
+        num_heads: 8
+        use_spatial_transformer: True
+        transformer_depth: 1
+        context_dim: 768
+        use_checkpoint: True
+        legacy: False
+
+    first_stage_config:
+      target: ldm.models.autoencoder.AutoencoderKL
+      params:
+        embed_dim: 4
+        monitor: val/rec_loss
+        ddconfig:
+          double_z: true
+          z_channels: 4
+          resolution: 256
+          in_channels: 3
+          out_ch: 3
+          ch: 128
+          ch_mult:
+          - 1
+          - 2
+          - 4
+          - 4
+          num_res_blocks: 2
+          attn_resolutions: []
+          dropout: 0.0
+        lossconfig:
+          target: torch.nn.Identity
+
+    cond_stage_config:
+      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder