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Browse files- model_index.json +1 -1
- scheduler/scheduler_config.json +1 -1
- text_encoder/config.json +1 -1
- text_encoder_2/config.json +1 -1
- unet/config.json +1 -1
- vae/config.json +2 -1
model_index.json
CHANGED
@@ -1,6 +1,6 @@
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.
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"_name_or_path": "model",
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"feature_extractor": [
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null,
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.30.1",
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"_name_or_path": "model",
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"feature_extractor": [
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null,
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scheduler/scheduler_config.json
CHANGED
@@ -1,6 +1,6 @@
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{
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"_class_name": "EulerDiscreteScheduler",
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"_diffusers_version": "0.
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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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{
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"_class_name": "EulerDiscreteScheduler",
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"_diffusers_version": "0.30.1",
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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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text_encoder/config.json
CHANGED
@@ -20,6 +20,6 @@
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.
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"vocab_size": 49408
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}
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.44.2",
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"vocab_size": 49408
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}
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text_encoder_2/config.json
CHANGED
@@ -20,6 +20,6 @@
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.
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"vocab_size": 49408
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}
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.44.2",
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"vocab_size": 49408
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}
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unet/config.json
CHANGED
@@ -1,6 +1,6 @@
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.
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"_name_or_path": "model/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.30.1",
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"_name_or_path": "model/unet",
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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vae/config.json
CHANGED
@@ -1,6 +1,6 @@
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.
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"_name_or_path": "model/vae",
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"act_fn": "silu",
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"block_out_channels": [
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"latents_mean": null,
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"latents_std": null,
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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": 1024,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.30.1",
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"_name_or_path": "model/vae",
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"act_fn": "silu",
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"block_out_channels": [
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"latents_mean": null,
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"latents_std": null,
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"layers_per_block": 2,
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"mid_block_add_attention": true,
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 1024,
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