Adding `diffusers` weights of this model
#2
by
digiplay
- opened
- model_index.json +1 -1
- scheduler/scheduler_config.json +2 -9
- unet/config.json +1 -1
- vae/config.json +2 -1
model_index.json
CHANGED
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@@ -12,7 +12,7 @@
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],
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"scheduler": [
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"diffusers",
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-
"
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],
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"text_encoder": [
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"transformers",
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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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"text_encoder": [
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"transformers",
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scheduler/scheduler_config.json
CHANGED
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@@ -1,24 +1,17 @@
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{
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"_class_name": "
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"_diffusers_version": "0.17.0.dev0",
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-
"algorithm_type": "dpmsolver++",
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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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-
"lambda_min_clipped": -Infinity,
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"lower_order_final": true,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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-
"solver_order": 2,
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-
"solver_type": "midpoint",
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"steps_offset": 1,
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"thresholding": false,
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-
"trained_betas": null
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-
"use_karras_sigmas": false,
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-
"variance_type": null
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}
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{
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+
"_class_name": "DDIMScheduler",
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"_diffusers_version": "0.17.0.dev0",
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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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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"steps_offset": 1,
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"thresholding": false,
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+
"trained_betas": null
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}
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unet/config.json
CHANGED
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@@ -44,7 +44,7 @@
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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-
"sample_size":
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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+
"sample_size": 96,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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vae/config.json
CHANGED
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@@ -19,7 +19,8 @@
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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":
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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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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