Upload 2 files

config.json

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+{
+    "model_type": "StableDiffusionXLPipeline",
+    "pretrained_model_name_or_path": "paradox-2-sdxl",
+    "scheduler": {
+        "_class_name": "EulerDiscreteScheduler",
+        "_diffusers_version": "0.19.0.dev0",
+        "beta_end": 0.012,
+        "beta_schedule": "scaled_linear",
+        "beta_start": 0.00085,
+        "clip_sample": false,
+        "interpolation_type": "linear",
+        "num_train_timesteps": 1000,
+        "prediction_type": "epsilon",
+        "sample_max_value": 1.0,
+        "set_alpha_to_one": false,
+        "skip_prk_steps": true,
+        "steps_offset": 1,
+        "timestep_spacing": "leading",
+        "trained_betas": null,
+        "use_karras_sigmas": false
+    },
+    "safety_checker": "No",
+    "requires_safety_checker": false,
+    "dtype": "float16"
+}

model_index.json

@@ -0,0 +1,34 @@
+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.19.0.dev0",
+  "force_zeros_for_empty_prompt": true,
+  "add_watermarker": null,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}