Adding `diffusers` weights of this model

This PR adds fp32 and fp16 weights in PyTorch and safetensors format to digiplay/2K-VAE

model_index.json

@@ -1,14 +1,14 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.17.0.dev0",
+  "_diffusers_version": "0.22.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
   ],
-  "requires_safety_checker": null,
+  "requires_safety_checker": true,
   "safety_checker": [
-    null,
-    null
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
   ],
   "scheduler": [
     "diffusers",
@@ -30,4 +30,4 @@
     "diffusers",
     "AutoencoderKL"
   ]
-}
+}

scheduler/scheduler_config.json

@@ -1,16 +1,19 @@
 {
-  "_class_name": "EulerDiscreteScheduler",
+  "_class_name": "DDIMScheduler",
   "_diffusers_version": "0.22.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
   "clip_sample": false,
-  "interpolation_type": "linear",
+  "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,
   "steps_offset": 1,
-  "timestep_spacing": "linspace",
-  "trained_betas": null,
-  "use_karras_sigmas": false
+  "thresholding": false,
+  "timestep_spacing": "leading",
+  "trained_betas": null
 }

tokenizer/added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|endoftext|>": 49407,
+  "<|startoftext|>": 49406
+}