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abhinavreddy17
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happy_face_HQ_LoRA

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Diffusers
TensorBoard
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl-base
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
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happy_face_HQ_LoRA
File size: 3,039 Bytes 
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{
    "unet": {
        "_class_name": "UNet2DConditionModel",
        "_diffusers_version": "0.19.0.dev0",
        "act_fn": "silu",
        "addition_embed_type": "text_time",
        "addition_embed_type_num_heads": 64,
        "addition_time_embed_dim": 256,
        "attention_head_dim": [
            5,
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            20
        ],
        "block_out_channels": [
            320,
            640,
            1280
        ],
        "center_input_sample": false,
        "class_embed_type": null,
        "class_embeddings_concat": false,
        "conv_in_kernel": 3,
        "conv_out_kernel": 3,
        "cross_attention_dim": 2048,
        "cross_attention_norm": null,
        "down_block_types": [
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            "CrossAttnDownBlock2D",
            "CrossAttnDownBlock2D"
        ],
        "downsample_padding": 1,
        "dual_cross_attention": false,
        "encoder_hid_dim": null,
        "encoder_hid_dim_type": null,
        "flip_sin_to_cos": true,
        "freq_shift": 0,
        "in_channels": 4,
        "layers_per_block": 2,
        "mid_block_only_cross_attention": null,
        "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,
        "out_channels": 4,
        "projection_class_embeddings_input_dim": 2816,
        "resnet_out_scale_factor": 1.0,
        "resnet_skip_time_act": false,
        "resnet_time_scale_shift": "default",
        "sample_size": 128,
        "time_cond_proj_dim": null,
        "time_embedding_act_fn": null,
        "time_embedding_dim": null,
        "time_embedding_type": "positional",
        "timestep_post_act": null,
        "transformer_layers_per_block": [
            1,
            2,
            10
        ],
        "up_block_types": [
            "CrossAttnUpBlock2D",
            "CrossAttnUpBlock2D",
            "UpBlock2D"
        ],
        "upcast_attention": null,
        "use_linear_projection": true
    },
    "vae": {
        "_class_name": "AutoencoderKL",
        "_diffusers_version": "0.20.0.dev0",
        "_name_or_path": "../sdxl-vae/",
        "act_fn": "silu",
        "block_out_channels": [
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            256,
            512,
            512
        ],
        "down_block_types": [
            "DownEncoderBlock2D",
            "DownEncoderBlock2D",
            "DownEncoderBlock2D",
            "DownEncoderBlock2D"
        ],
        "force_upcast": true,
        "in_channels": 3,
        "latent_channels": 4,
        "layers_per_block": 2,
        "norm_num_groups": 32,
        "out_channels": 3,
        "sample_size": 1024,
        "scaling_factor": 0.13025,
        "up_block_types": [
            "UpDecoderBlock2D",
            "UpDecoderBlock2D",
            "UpDecoderBlock2D",
            "UpDecoderBlock2D"
        ]
    },
    "model_type": "stable-diffusion-xl-base"
}