Adding `diffusers` weights of this model

This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/Wonder

model_index.json

@@ -1,18 +1,22 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.18.0.dev0",
+  "_diffusers_version": "0.28.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
   ],
-  "requires_safety_checker": null,
-  "safety_checker": [
+  "image_encoder": [
     null,
     null
   ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
   "scheduler": [
     "diffusers",
-    "HeunDiscreteScheduler"
+    "PNDMScheduler"
   ],
   "text_encoder": [
     "transformers",

scheduler/scheduler_config.json

@@ -1,20 +1,15 @@
 {
-  "_class_name": "HeunDiscreteScheduler",
-  "_diffusers_version": "0.18.0.dev0",
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.28.0.dev0",
   "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,
   "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,
   "steps_offset": 1,
-  "thresholding": false,
   "timestep_spacing": "leading",
-  "trained_betas": null,
-  "use_karras_sigmas": false
+  "trained_betas": null
 }

unet/diffusion_pytorch_model.fp16.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4bde265329cd1c9bf64d10a7bacc47a5e4208266e0f8f5b70022efdeefe6a182
+oid sha256:17b0a8f5068a74cef954121b0733399a8e71077b1f4a6c2db17e512c782ba3b4
 size 3438167536

unet/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4bde265329cd1c9bf64d10a7bacc47a5e4208266e0f8f5b70022efdeefe6a182
+oid sha256:17b0a8f5068a74cef954121b0733399a8e71077b1f4a6c2db17e512c782ba3b4
 size 3438167536