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model_index.json ADDED
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+ {
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+ "_class_name": "StableDiffusionPipeline",
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+ "_diffusers_version": "0.13.1",
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+ "scheduler": [
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+ "diffusers",
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+ "DEISMultistepScheduler"
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+ ],
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+ "text_encoder": [
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+ "transformers",
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+ "CLIPTextModel"
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+ ],
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+ "tokenizer": [
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+ "transformers",
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+ "CLIPTokenizer"
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+ ],
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+ "unet": [
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+ "diffusers",
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+ "UNet2DConditionModel"
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+ ],
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderKL"
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+ ]
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+ }
scheduler/scheduler_config.json ADDED
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+ {
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+ "_class_name": "DEISMultistepScheduler",
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+ "algorithm_type": "deis",
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+ "lower_order_final": true,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "v_prediction",
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+ "sample_max_value": 1.0,
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+ "set_alpha_to_one": false,
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+ "solver_type": "logrho",
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+ "steps_offset": 1,
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+ "thresholding": false,
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+ "trained_betas": null
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+ }
text_encoder/config.json ADDED
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+ {
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+ "_name_or_path": "stabilityai/stable-diffusion-2",
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+ "architectures": [
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+ "CLIPTextModel"
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+ ],
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+ "intermediate_size": 4096,
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+ "max_position_embeddings": 77,
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+ "model_type": "clip_text_model",
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+ "num_attention_heads": 16,
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+ "projection_dim": 512,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.26.1",
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+ "vocab_size": 49408
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+ }
text_encoder/model.safetensors ADDED
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tokenizer/merges.txt ADDED
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tokenizer/special_tokens_map.json ADDED
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+ {
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+ "bos_token": {
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+ "content": "<|startoftext|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
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+ "eos_token": {
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+ "content": "<|endoftext|>",
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tokenizer/tokenizer_config.json ADDED
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+ {
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+ "name_or_path": "stabilityai/stable-diffusion-2",
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+ "pad_token": "<|endoftext|>",
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+ "special_tokens_map_file": "./special_tokens_map.json",
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+ "tokenizer_class": "CLIPTokenizer",
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tokenizer/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
unet/config.json ADDED
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+ {
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+ ],
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+ "block_out_channels": [
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+ "center_input_sample": false,
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+ "conv_in_kernel": 3,
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+ "conv_out_kernel": 3,
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+ "cross_attention_dim": 1024,
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+ "down_block_types": [
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+ "CrossAttnDownBlock2D",
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+ "CrossAttnDownBlock2D",
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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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+ "dual_cross_attention": false,
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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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+ "mid_block_scale_factor": 1,
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+ "mid_block_type": "UNetMidBlock2DCrossAttn",
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+ "norm_eps": 1e-05,
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+ "resnet_time_scale_shift": "default",
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+ "time_embedding_type": "positional",
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+ "up_block_types": [
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+ "UpBlock2D",
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+ "CrossAttnUpBlock2D",
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+ "CrossAttnUpBlock2D",
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+ "CrossAttnUpBlock2D"
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+ ],
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+ "upcast_attention": true,
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+ "use_linear_projection": true
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+ }
unet/diffusion_pytorch_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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v2.yaml ADDED
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+ model:
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+ base_learning_rate: 1.0e-4
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+ target: ldm.models.diffusion.ddpm.LatentDiffusion
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+ params:
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+ parameterization: "v"
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+ linear_start: 0.00085
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+ linear_end: 0.0120
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+ num_timesteps_cond: 1
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+ log_every_t: 200
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+ timesteps: 1000
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+ first_stage_key: "images"
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+ cond_stage_key: "input_ids"
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+ image_size: 64
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+ channels: 4
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+ cond_stage_trainable: true
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+ conditioning_key: crossattn
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+ monitor: val/loss_simple_ema
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+ scale_factor: 0.18215
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+ use_ema: False # we set this to false because this is an inference only config
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+
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+ unet_config:
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+ target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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+ params:
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+ use_checkpoint: True
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+ use_fp16: True
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+ image_size: 32 # unused
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+ in_channels: 4
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+ out_channels: 4
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+ model_channels: 320
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+ attention_resolutions: [ 4, 2, 1 ]
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+ num_res_blocks: 2
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+ channel_mult: [ 1, 2, 4, 4 ]
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+ num_head_channels: 64 # need to fix for flash-attn
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+ use_spatial_transformer: True
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+ use_linear_in_transformer: True
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+ transformer_depth: 1
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+ context_dim: 1024
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+ legacy: False
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+
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+ first_stage_config:
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+ target: ldm.models.autoencoder.AutoencoderKL
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+ params:
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+ embed_dim: 4
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+ monitor: val/rec_loss
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+ ddconfig:
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+ #attn_type: "vanilla-xformers"
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+ double_z: true
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+ z_channels: 4
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+ resolution: 256
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+ in_channels: 3
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+ out_ch: 3
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+ ch: 128
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+ ch_mult:
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+ - 1
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+ - 2
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+ - 4
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+ - 4
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+ num_res_blocks: 2
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+ attn_resolutions: [ ]
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+ dropout: 0.0
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+ lossconfig:
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+ target: torch.nn.Identity
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+
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+ cond_stage_config:
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+ target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
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+ params:
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+ freeze: True
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+ layer: "penultimate"
vae/config.json ADDED
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+ {
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+ "_class_name": "AutoencoderKL",
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+ "act_fn": "silu",
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+ "block_out_channels": [
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+ 128,
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+ 256,
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+ 512,
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+ 512
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+ ],
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+ "down_block_types": [
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D"
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+ ],
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+ "in_channels": 3,
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+ "latent_channels": 4,
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+ "layers_per_block": 2,
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+ "norm_num_groups": 32,
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+ "out_channels": 3,
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+ "sample_size": 768,
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+ "scaling_factor": 0.18215,
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+ "up_block_types": [
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D"
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+ ]
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+ }
vae/diffusion_pytorch_model.safetensors ADDED
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