Adding `diffusers` weights of this model

This PR adds fp32 and fp16 weights in PyTorch and safetensors format to digiplay/majicMIX_realistic_v6

model_index.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.17.0.dev0",
+  "_diffusers_version": "0.18.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
@@ -12,7 +12,7 @@
   ],
   "scheduler": [
     "diffusers",
-    "DDIMScheduler"
+    "EulerDiscreteScheduler"
   ],
   "text_encoder": [
     "transformers",

safety_checker/config.json

@@ -80,7 +80,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.29.2",
+    "transformers_version": "4.30.2",
     "typical_p": 1.0,
     "use_bfloat16": false,
     "vocab_size": 49408
@@ -161,7 +161,7 @@
     "top_p": 1.0,
     "torch_dtype": null,
     "torchscript": false,
-    "transformers_version": "4.29.2",
+    "transformers_version": "4.30.2",
     "typical_p": 1.0,
     "use_bfloat16": false
   }

scheduler/scheduler_config.json

@@ -1,17 +1,21 @@
 {
-  "_class_name": "DDIMScheduler",
-  "_diffusers_version": "0.17.0.dev0",
+  "_class_name": "EulerDiscreteScheduler",
+  "_diffusers_version": "0.18.0.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,
+  "interpolation_type": "linear",
   "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,
   "thresholding": false,
-  "trained_betas": null
+  "timestep_spacing": "leading",
+  "trained_betas": null,
+  "use_karras_sigmas": false
 }

text_encoder/config.json

@@ -20,6 +20,6 @@
   "pad_token_id": 1,
   "projection_dim": 768,
   "torch_dtype": "float16",
-  "transformers_version": "4.29.2",
+  "transformers_version": "4.30.2",
   "vocab_size": 49408
 }

unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.17.0.dev0",
+  "_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,
@@ -44,7 +45,7 @@
   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
-  "sample_size": 96,
+  "sample_size": 64,
   "time_cond_proj_dim": null,
   "time_embedding_act_fn": null,
   "time_embedding_dim": null,

vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.17.0.dev0",
+  "_diffusers_version": "0.18.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,
@@ -19,7 +19,7 @@
   "layers_per_block": 2,
   "norm_num_groups": 32,
   "out_channels": 3,
-  "sample_size": 768,
+  "sample_size": 512,
   "scaling_factor": 0.18215,
   "up_block_types": [
     "UpDecoderBlock2D",