converted using stablediffusionapi.com

README.md

@@ -1,36 +1,34 @@
 ---
 license: creativeml-openrail-m
 tags:
-  - stablediffusionapi.com
+  - modelslab.com
   - stable-diffusion-api
   - text-to-image
   - ultra-realistic
 pinned: true
 ---
 
-# protovision XL API Inference
+#  API Inference
 
-![generated from stablediffusionapi.com](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4e841a1c-4e71-4e36-9222-ed7973e43992/width=450/00025-2023-09-27-472409536.jpeg)
+![generated from modelslab.com](https://cdn2.stablediffusionapi.com/generations/bf190b5a-fe19-437c-ba05-82f29cb1f7ad-0.png)
 ## Get API Key
 
-Get API key from [Stable Diffusion API](http://stablediffusionapi.com/), No Payment needed. 
+Get API key from [ModelsLab API](http://modelslab.com), No Payment needed. 
 
 Replace Key in below code, change **model_id**  to "protovisionxl"
 
-Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://stablediffusionapi.com/docs)
+Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://modelslab.com/docs)
 
-Try model for free: [Generate Images](https://stablediffusionapi.com/models/protovisionxl)
+Try model for free: [Generate Images](https://modelslab.com/models/protovisionxl)
 
-Model link: [View model](https://stablediffusionapi.com/models/protovisionxl)
+Model link: [View model](https://modelslab.com/models/protovisionxl)
 
-Credits: [View credits](https://civitai.com/?query=protovision%20XL)
-
-View all models: [View Models](https://stablediffusionapi.com/models)
+View all models: [View Models](https://modelslab.com/models)
 
     import requests  
     import json  
       
-    url =  "https://stablediffusionapi.com/api/v4/dreambooth"  
+    url =  "https://modelslab.com/api/v6/images/text2img"  
       
     payload = json.dumps({  
     "key":  "your_api_key",  

model_index.json

@@ -1,7 +1,15 @@
 {
   "_class_name": "StableDiffusionXLPipeline",
-  "_diffusers_version": "0.21.2",
+  "_diffusers_version": "0.25.0.dev0",
+  "feature_extractor": [
+    null,
+    null
+  ],
   "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
   "scheduler": [
     "diffusers",
     "EulerDiscreteScheduler"

scheduler/scheduler_config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "EulerDiscreteScheduler",
-  "_diffusers_version": "0.21.2",
+  "_diffusers_version": "0.25.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
@@ -8,11 +8,15 @@
   "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,
+  "sigma_max": null,
+  "sigma_min": null,
   "skip_prk_steps": true,
   "steps_offset": 1,
   "timestep_spacing": "leading",
+  "timestep_type": "discrete",
   "trained_betas": null,
   "use_karras_sigmas": false
 }

text_encoder/config.json

@@ -19,6 +19,6 @@
   "pad_token_id": 1,
   "projection_dim": 768,
   "torch_dtype": "float16",
-  "transformers_version": "4.33.1",
+  "transformers_version": "4.35.2",
   "vocab_size": 49408
 }

text_encoder/pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:644f730f341067e9117e6b981a239a0ddcf75d97c0a23c707ac530ee4bcd1b4a
 size 246185562

text_encoder_2/config.json

@@ -19,6 +19,6 @@
   "pad_token_id": 1,
   "projection_dim": 1280,
   "torch_dtype": "float16",
-  "transformers_version": "4.33.1",
+  "transformers_version": "4.35.2",
   "vocab_size": 49408
 }

text_encoder_2/pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:5ec3893623fe97c8a9b3f52413fb27f143590b17d3ae936bc47804037bd6c434
+oid sha256:c6c7cf11b20e8eb42cd77027d588fce2a5247d51aed23bc02a5c88ba158653ee
 size 1389490462

tokenizer/special_tokens_map.json

@@ -13,7 +13,13 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "<|endoftext|>",
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
   "unk_token": {
     "content": "<|endoftext|>",
     "lstrip": false,

tokenizer/tokenizer_config.json

@@ -1,33 +1,30 @@
 {
   "add_prefix_space": false,
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
+  "added_tokens_decoder": {
+    "49406": {
+      "content": "<|startoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49407": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
   },
+  "bos_token": "<|startoftext|>",
   "clean_up_tokenization_spaces": true,
   "do_lower_case": true,
-  "eos_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
+  "eos_token": "<|endoftext|>",
   "errors": "replace",
   "model_max_length": 77,
   "pad_token": "<|endoftext|>",
   "tokenizer_class": "CLIPTokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
+  "unk_token": "<|endoftext|>"
 }

tokenizer_2/tokenizer_config.json

@@ -1,33 +1,38 @@
 {
   "add_prefix_space": false,
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
+  "added_tokens_decoder": {
+    "0": {
+      "content": "!",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49406": {
+      "content": "<|startoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49407": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
   },
+  "bos_token": "<|startoftext|>",
   "clean_up_tokenization_spaces": true,
   "do_lower_case": true,
-  "eos_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
+  "eos_token": "<|endoftext|>",
   "errors": "replace",
   "model_max_length": 77,
   "pad_token": "!",
   "tokenizer_class": "CLIPTokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
+  "unk_token": "<|endoftext|>"
 }

unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.21.2",
+  "_diffusers_version": "0.25.0.dev0",
   "act_fn": "silu",
   "addition_embed_type": "text_time",
   "addition_embed_type_num_heads": 64,
@@ -50,6 +50,7 @@
   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
   "sample_size": 128,
   "time_cond_proj_dim": null,
   "time_embedding_act_fn": null,

unet/diffusion_pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:19d585649c0effdb2b9749e442a1574f4be30820d0465fdaa0466d553ae9a451
+oid sha256:d9911826cf7a85ea581a9d1807a2c272a0fca3c0622ad9b9281b38b2d4fdf4bf
 size 5135669022

vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.21.2",
+  "_diffusers_version": "0.25.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,