thanks to DeepFloyd ❤

config.yml

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+params:
+    image_size: 64
+    model_channels: 704
+    num_res_blocks: 3
+    channel_mult: "1,2,3,4"
+    attention_resolutions: "32,16,8"
+    num_heads: 1
+    num_head_channels: 64
+    num_heads_upsample: -1
+    use_scale_shift_norm: true
+    dropout: 0.0
+    resblock_updown: true
+    encoder_dim: 4096
+    encoder_channels: 2816
+    in_channels: 3
+    out_channels: 6
+    activation: "gelu"
+    att_pool_heads: 64
+    disable_self_attentions: false
+    precision: "16"

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

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+{
+  "_class_name": "IFPipeline",
+  "_diffusers_version": "0.15.0.dev0",
+  "_ignore_files": ["pytorch_model.bin"],
+  "scheduler": [
+    "diffusers",
+    "DDPMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "T5Tokenizer"
+  ],
+  "unet": [
+    "diffusers",
+	"UNet2DConditionModel"
+  ],
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "safety_checker": [
+    "deepfloyd_if",
+    "IFSafetyChecker"
+  ],
+  "watermarker": [
+    "deepfloyd_if",
+    "IFWatermarker"
+  ],
+  "requires_safety_checker": true
+}

safety_checker/config.json

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+{
+  "_commit_hash": null,
+  "_name_or_path": ".",
+  "architectures": [
+    "IFSafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
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+    "add_cross_attention": false,
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+    "do_sample": false,
+    "dropout": 0.0,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 2,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
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+    "hidden_act": "quick_gelu",
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "is_decoder": false,
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+    "model_type": "clip_text_model",
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+    "pruned_heads": {},
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+    "vocab_size": 49408
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+    "return_dict_in_generate": false,
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+    "tf_legacy_loss": false,
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+    "typical_p": 1.0,
+    "use_bfloat16": false
+  }
+}

safety_checker/model.fp16.safetensors

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scheduler/scheduler_config.json

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+{
+  "_class_name": "DDPMScheduler",
+  "_diffusers_version": "0.15.0.dev0",
+  "beta_end": 0.02,
+  "beta_schedule": "squaredcos_cap_v2",
+  "beta_start": 0.0001,
+  "clip_sample": true,
+  "clip_sample_range": 1.0,
+  "dynamic_thresholding_ratio": 0.95,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "sample_max_value": 1.5,
+  "thresholding": true,
+  "trained_betas": null,
+  "variance_type": "learned_range",
+  "lambda_min_clipped": -5.1
+}

text_encoder/config.json

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+{
+  "_name_or_path": "./",
+  "architectures": [
+    "T5EncoderModel"
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+  "d_kv": 64,
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+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 64,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.28.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

text_encoder/model.8bit.safetensors

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text_encoder/special_tokens_map.json

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text_encoder/tokenizer_config.json

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tokenizer/special_tokens_map.json

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