Update Diffusers Download Node & Unique3D related workflows
This commit is contained in:
Mr. For Example
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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---
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license: mit
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---
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To enable download model using huggingface_hub package
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<br>Copied from https://huggingface.co/spaces/Wuvin/Unique3D/tree/main/ckpt
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+44
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_center_crop",
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"crop_size",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"do_convert_rgb",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 224
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}
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}
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{
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"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
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"architectures": [
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"CLIPVisionModelWithProjection"
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],
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"attention_dropout": 0.0,
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"dropout": 0.0,
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"hidden_act": "quick_gelu",
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"hidden_size": 1024,
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"image_size": 224,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"model_type": "clip_vision_model",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"patch_size": 14,
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"projection_dim": 768,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3"
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}
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{
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"_class_name": "StableDiffusionImage2MVCustomPipeline",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
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"condition_offset": true,
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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],
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"image_encoder": [
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"transformers",
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"CLIPVisionModelWithProjection"
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],
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"requires_safety_checker": true,
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"safety_checker": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"DDIMScheduler"
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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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}
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+20
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{
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"_class_name": "DDIMScheduler",
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"_diffusers_version": "0.27.2",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
|
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"beta_start": 0.00085,
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"clip_sample": false,
|
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"clip_sample_range": 1.0,
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"dynamic_thresholding_ratio": 0.995,
|
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
|
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"sample_max_value": 1.0,
|
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"set_alpha_to_one": false,
|
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"skip_prk_steps": true,
|
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"steps_offset": 1,
|
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"thresholding": false,
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"timestep_spacing": "leading",
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"trained_betas": null
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}
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{
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"_class_name": "UnifieldWrappedUNet",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
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"act_fn": "silu",
|
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"addition_embed_type": null,
|
||||
"addition_embed_type_num_heads": 64,
|
||||
"addition_time_embed_dim": null,
|
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"attention_head_dim": 8,
|
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"attention_type": "default",
|
||||
"block_out_channels": [
|
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320,
|
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640,
|
||||
1280,
|
||||
1280
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||||
],
|
||||
"center_input_sample": false,
|
||||
"class_embed_type": null,
|
||||
"class_embeddings_concat": false,
|
||||
"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
|
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"cross_attention_norm": null,
|
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"down_block_types": [
|
||||
"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
|
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"DownBlock2D"
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||||
],
|
||||
"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
|
||||
"encoder_hid_dim": null,
|
||||
"encoder_hid_dim_type": null,
|
||||
"flip_sin_to_cos": true,
|
||||
"freq_shift": 0,
|
||||
"in_channels": 8,
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||||
"layers_per_block": 2,
|
||||
"mid_block_only_cross_attention": null,
|
||||
"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
|
||||
"norm_eps": 1e-05,
|
||||
"norm_num_groups": 32,
|
||||
"num_attention_heads": null,
|
||||
"num_class_embeds": 8,
|
||||
"only_cross_attention": false,
|
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"out_channels": 4,
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||||
"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,
|
||||
"time_embedding_dim": null,
|
||||
"time_embedding_type": "positional",
|
||||
"timestep_post_act": null,
|
||||
"transformer_layers_per_block": 1,
|
||||
"up_block_types": [
|
||||
"UpBlock2D",
|
||||
"CrossAttnUpBlock2D",
|
||||
"CrossAttnUpBlock2D",
|
||||
"CrossAttnUpBlock2D"
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||||
],
|
||||
"upcast_attention": false,
|
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"use_linear_projection": false
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}
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@@ -0,0 +1,34 @@
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{
|
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"_class_name": "AutoencoderKL",
|
||||
"_diffusers_version": "0.27.2",
|
||||
"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
|
||||
"act_fn": "silu",
|
||||
"block_out_channels": [
|
||||
128,
|
||||
256,
|
||||
512,
|
||||
512
|
||||
],
|
||||
"down_block_types": [
|
||||
"DownEncoderBlock2D",
|
||||
"DownEncoderBlock2D",
|
||||
"DownEncoderBlock2D",
|
||||
"DownEncoderBlock2D"
|
||||
],
|
||||
"force_upcast": true,
|
||||
"in_channels": 3,
|
||||
"latent_channels": 4,
|
||||
"latents_mean": null,
|
||||
"latents_std": null,
|
||||
"layers_per_block": 2,
|
||||
"norm_num_groups": 32,
|
||||
"out_channels": 3,
|
||||
"sample_size": 256,
|
||||
"scaling_factor": 0.18215,
|
||||
"up_block_types": [
|
||||
"UpDecoderBlock2D",
|
||||
"UpDecoderBlock2D",
|
||||
"UpDecoderBlock2D",
|
||||
"UpDecoderBlock2D"
|
||||
]
|
||||
}
|
||||
+44
@@ -0,0 +1,44 @@
|
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{
|
||||
"_valid_processor_keys": [
|
||||
"images",
|
||||
"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": {
|
||||
"height": 224,
|
||||
"width": 224
|
||||
},
|
||||
"do_center_crop": true,
|
||||
"do_convert_rgb": true,
|
||||
"do_normalize": true,
|
||||
"do_rescale": true,
|
||||
"do_resize": true,
|
||||
"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
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,23 @@
|
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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"
|
||||
}
|
||||
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"_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": [
|
||||
null,
|
||||
null
|
||||
],
|
||||
"scheduler": [
|
||||
"diffusers",
|
||||
"EulerAncestralDiscreteScheduler"
|
||||
],
|
||||
"unet": [
|
||||
"diffusers",
|
||||
"UNet2DConditionModel"
|
||||
],
|
||||
"vae": [
|
||||
"diffusers",
|
||||
"AutoencoderKL"
|
||||
]
|
||||
}
|
||||
+16
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"_class_name": "EulerAncestralDiscreteScheduler",
|
||||
"_diffusers_version": "0.27.2",
|
||||
"beta_end": 0.012,
|
||||
"beta_schedule": "scaled_linear",
|
||||
"beta_start": 0.00085,
|
||||
"clip_sample": false,
|
||||
"num_train_timesteps": 1000,
|
||||
"prediction_type": "epsilon",
|
||||
"rescale_betas_zero_snr": false,
|
||||
"set_alpha_to_one": false,
|
||||
"skip_prk_steps": true,
|
||||
"steps_offset": 1,
|
||||
"timestep_spacing": "linspace",
|
||||
"trained_betas": null
|
||||
}
|
||||
@@ -0,0 +1,68 @@
|
||||
{
|
||||
"_class_name": "UnifieldWrappedUNet",
|
||||
"_diffusers_version": "0.27.2",
|
||||
"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
|
||||
"act_fn": "silu",
|
||||
"addition_embed_type": null,
|
||||
"addition_embed_type_num_heads": 64,
|
||||
"addition_time_embed_dim": null,
|
||||
"attention_head_dim": 8,
|
||||
"attention_type": "default",
|
||||
"block_out_channels": [
|
||||
320,
|
||||
640,
|
||||
1280,
|
||||
1280
|
||||
],
|
||||
"center_input_sample": false,
|
||||
"class_embed_type": null,
|
||||
"class_embeddings_concat": false,
|
||||
"conv_in_kernel": 3,
|
||||
"conv_out_kernel": 3,
|
||||
"cross_attention_dim": 768,
|
||||
"cross_attention_norm": null,
|
||||
"down_block_types": [
|
||||
"CrossAttnDownBlock2D",
|
||||
"CrossAttnDownBlock2D",
|
||||
"CrossAttnDownBlock2D",
|
||||
"DownBlock2D"
|
||||
],
|
||||
"downsample_padding": 1,
|
||||
"dropout": 0.0,
|
||||
"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": 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,
|
||||
"time_embedding_dim": null,
|
||||
"time_embedding_type": "positional",
|
||||
"timestep_post_act": null,
|
||||
"transformer_layers_per_block": 1,
|
||||
"up_block_types": [
|
||||
"UpBlock2D",
|
||||
"CrossAttnUpBlock2D",
|
||||
"CrossAttnUpBlock2D",
|
||||
"CrossAttnUpBlock2D"
|
||||
],
|
||||
"upcast_attention": false,
|
||||
"use_linear_projection": false
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
{
|
||||
"_class_name": "AutoencoderKL",
|
||||
"_diffusers_version": "0.27.2",
|
||||
"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
|
||||
"act_fn": "silu",
|
||||
"block_out_channels": [
|
||||
128,
|
||||
256,
|
||||
512,
|
||||
512
|
||||
],
|
||||
"down_block_types": [
|
||||
"DownEncoderBlock2D",
|
||||
"DownEncoderBlock2D",
|
||||
"DownEncoderBlock2D",
|
||||
"DownEncoderBlock2D"
|
||||
],
|
||||
"force_upcast": true,
|
||||
"in_channels": 3,
|
||||
"latent_channels": 4,
|
||||
"latents_mean": null,
|
||||
"latents_std": null,
|
||||
"layers_per_block": 2,
|
||||
"norm_num_groups": 32,
|
||||
"out_channels": 3,
|
||||
"sample_size": 256,
|
||||
"scaling_factor": 0.18215,
|
||||
"up_block_types": [
|
||||
"UpDecoderBlock2D",
|
||||
"UpDecoderBlock2D",
|
||||
"UpDecoderBlock2D",
|
||||
"UpDecoderBlock2D"
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,70 @@
|
||||
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
|
||||
Reference in New Issue
Block a user