Adding `diffusers` weights of this model

model_index.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.17.1",
+  "_diffusers_version": "0.18.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
@@ -12,7 +12,7 @@
   ],
   "scheduler": [
     "diffusers",
-    "PNDMScheduler"
+    "DPMSolverMultistepScheduler"
   ],
   "text_encoder": [
     "transformers",

safety_checker/config.json

@@ -85,7 +85,7 @@
     "use_bfloat16": false,
     "vocab_size": 49408
   },
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": null,
   "vision_config": {
     "_name_or_path": "",

safety_checker/model.fp16.safetensors

@@ -0,0 +1,3 @@
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safety_checker/model.safetensors

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safety_checker/pytorch_model.fp16.bin

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scheduler/scheduler_config.json

@@ -1,20 +1,26 @@
 {
-  "_class_name": "PNDMScheduler",
-  "_diffusers_version": "0.17.1",
+  "_class_name": "DPMSolverMultistepScheduler",
+  "_diffusers_version": "0.18.0.dev0",
+  "algorithm_type": "dpmsolver++",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
   "clip_sample": false,
   "clip_sample_range": 1.0,
   "dynamic_thresholding_ratio": 0.995,
+  "lambda_min_clipped": -Infinity,
+  "lower_order_final": true,
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
   "rescale_betas_zero_snr": false,
   "sample_max_value": 1.0,
   "set_alpha_to_one": false,
-  "skip_prk_steps": true,
+  "solver_order": 2,
+  "solver_type": "midpoint",
   "steps_offset": 1,
   "thresholding": false,
   "timestep_spacing": "leading",
-  "trained_betas": null
+  "trained_betas": null,
+  "use_karras_sigmas": false,
+  "variance_type": null
 }

text_encoder/config.json

@@ -19,7 +19,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "projection_dim": 768,
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": "4.30.2",
   "vocab_size": 49408
 }

text_encoder/model.fp16.safetensors

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text_encoder/model.safetensors

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text_encoder/pytorch_model.bin

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 size 492307041

text_encoder/pytorch_model.fp16.bin

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unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.17.1",
+  "_diffusers_version": "0.18.0.dev0",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,
@@ -37,6 +37,7 @@
   "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,

unet/diffusion_pytorch_model.bin

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unet/diffusion_pytorch_model.fp16.bin

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vae/config.json

@@ -1,6 +1,6 @@
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   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.17.1",
+  "_diffusers_version": "0.18.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
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vae/diffusion_pytorch_model.bin

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