converted using stablediffusionapi.com

README.md

@@ -1,39 +1,39 @@
 ---
 license: creativeml-openrail-m
 tags:
-  - stablediffusionapi.com
+  - modelslab.com
   - stable-diffusion-api
   - text-to-image
   - ultra-realistic
 pinned: true
 ---
 
-# Rev Anim API Inference
+#  API Inference
 
-![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/5603613411682351252.png)
+![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 "rev-anim"
 
-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)
 
-Model link: [View model](https://stablediffusionapi.com/models/rev-anim)
+Try model for free: [Generate Images](https://modelslab.com/models/rev-anim)
 
-Credits: [View credits](https://civitai.com/?query=Rev%20Anim)
+Model link: [View model](https://modelslab.com/models/rev-anim)
 
-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/v3/dreambooth"  
+    url =  "https://modelslab.com/api/v6/images/text2img"  
       
     payload = json.dumps({  
-    "key":  "",  
+    "key":  "your_api_key",  
     "model_id":  "rev-anim",  
-    "prompt":  "actual 8K portrait photo of gareth person, portrait, happy colors, bright eyes, clear eyes, warm smile, smooth soft skin, big dreamy eyes, beautiful intricate colored hair, symmetrical, anime wide eyes, soft lighting, detailed face, by makoto shinkai, stanley artgerm lau, wlop, rossdraws, concept art, digital painting, looking into camera",  
+    "prompt":  "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",  
     "negative_prompt":  "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",  
     "width":  "512",  
     "height":  "512",  

feature_extractor/preprocessor_config.json

@@ -24,5 +24,6 @@
   "rescale_factor": 0.00392156862745098,
   "size": {
     "shortest_edge": 224
-  }
+  },
+  "use_square_size": false
 }

model_index.json

@@ -1,10 +1,14 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.16.0.dev0",
+  "_diffusers_version": "0.25.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
   ],
+  "image_encoder": [
+    null,
+    null
+  ],
   "requires_safety_checker": true,
   "safety_checker": [
     "stable_diffusion",

safety_checker/config.json

@@ -1,5 +1,4 @@
 {
-  "_commit_hash": "cb41f3a270d63d454d385fc2e4f571c487c253c5",
   "_name_or_path": "CompVis/stable-diffusion-safety-checker",
   "architectures": [
     "StableDiffusionSafetyChecker"
@@ -9,160 +8,21 @@
   "model_type": "clip",
   "projection_dim": 768,
   "text_config": {
-    "_name_or_path": "",
-    "add_cross_attention": false,
-    "architectures": null,
-    "attention_dropout": 0.0,
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-    "diversity_penalty": 0.0,
-    "do_sample": false,
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-    "early_stopping": false,
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-    "eos_token_id": 2,
-    "exponential_decay_length_penalty": null,
-    "finetuning_task": null,
-    "forced_bos_token_id": null,
-    "forced_eos_token_id": null,
-    "hidden_act": "quick_gelu",
     "hidden_size": 768,
-    "id2label": {
-      "0": "LABEL_0",
-      "1": "LABEL_1"
-    },
-    "initializer_factor": 1.0,
-    "initializer_range": 0.02,
     "intermediate_size": 3072,
-    "is_decoder": false,
-    "is_encoder_decoder": false,
-    "label2id": {
-      "LABEL_0": 0,
-      "LABEL_1": 1
-    },
-    "layer_norm_eps": 1e-05,
-    "length_penalty": 1.0,
-    "max_length": 20,
-    "max_position_embeddings": 77,
-    "min_length": 0,
     "model_type": "clip_text_model",
-    "no_repeat_ngram_size": 0,
-    "num_attention_heads": 12,
-    "num_beam_groups": 1,
-    "num_beams": 1,
-    "num_hidden_layers": 12,
-    "num_return_sequences": 1,
-    "output_attentions": false,
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-    "output_scores": false,
-    "pad_token_id": 1,
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-    "problem_type": null,
-    "projection_dim": 512,
-    "pruned_heads": {},
-    "remove_invalid_values": false,
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-    "return_dict": true,
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-    "tf_legacy_loss": false,
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-    "transformers_version": "4.28.1",
-    "typical_p": 1.0,
-    "use_bfloat16": false,
-    "vocab_size": 49408
+    "num_attention_heads": 12
   },
-  "torch_dtype": "float32",
-  "transformers_version": null,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
   "vision_config": {
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-    "add_cross_attention": false,
-    "architectures": null,
-    "attention_dropout": 0.0,
-    "bad_words_ids": null,
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-    "decoder_start_token_id": null,
-    "diversity_penalty": 0.0,
-    "do_sample": false,
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-    "early_stopping": false,
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-    "eos_token_id": null,
-    "exponential_decay_length_penalty": null,
-    "finetuning_task": null,
-    "forced_bos_token_id": null,
-    "forced_eos_token_id": null,
-    "hidden_act": "quick_gelu",
     "hidden_size": 1024,
-    "id2label": {
-      "0": "LABEL_0",
-      "1": "LABEL_1"
-    },
-    "image_size": 224,
-    "initializer_factor": 1.0,
-    "initializer_range": 0.02,
     "intermediate_size": 4096,
-    "is_decoder": false,
-    "is_encoder_decoder": false,
-    "label2id": {
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-      "LABEL_1": 1
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-    "layer_norm_eps": 1e-05,
-    "length_penalty": 1.0,
-    "max_length": 20,
-    "min_length": 0,
     "model_type": "clip_vision_model",
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     "num_attention_heads": 16,
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-    "num_channels": 3,
     "num_hidden_layers": 24,
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-    "output_attentions": false,
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-    "output_scores": false,
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-    "patch_size": 14,
-    "prefix": null,
-    "problem_type": null,
-    "projection_dim": 512,
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-    "remove_invalid_values": false,
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-    "return_dict": true,
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-    "tf_legacy_loss": false,
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-    "top_p": 1.0,
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-    "torchscript": false,
-    "transformers_version": "4.28.1",
-    "typical_p": 1.0,
-    "use_bfloat16": false
+    "patch_size": 14
   }
 }

safety_checker/pytorch_model.bin

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+size 608099578

scheduler/scheduler_config.json

@@ -1,18 +1,15 @@
 {
   "_class_name": "PNDMScheduler",
-  "_diffusers_version": "0.16.0.dev0",
+  "_diffusers_version": "0.25.0.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",
-  "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
 }

text_encoder/config.json

@@ -1,5 +1,4 @@
 {
-  "_name_or_path": "openai/clip-vit-large-patch14",
   "architectures": [
     "CLIPTextModel"
   ],
@@ -19,7 +18,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "projection_dim": 768,
-  "torch_dtype": "float32",
-  "transformers_version": "4.28.1",
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
   "vocab_size": 49408
 }

text_encoder/pytorch_model.bin

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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
+    }
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+  "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": {
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-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
+  "unk_token": "<|endoftext|>"
 }

unet/config.json

@@ -1,8 +1,12 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.16.0.dev0",
+  "_diffusers_version": "0.25.0.dev0",
   "act_fn": "silu",
+  "addition_embed_type": null,
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": null,
   "attention_head_dim": 8,
+  "attention_type": "default",
   "block_out_channels": [
     320,
     640,
@@ -23,8 +27,10 @@
     "DownBlock2D"
   ],
   "downsample_padding": 1,
+  "dropout": 0.0,
   "dual_cross_attention": false,
   "encoder_hid_dim": null,
+  "encoder_hid_dim_type": null,
   "flip_sin_to_cos": true,
   "freq_shift": 0,
   "in_channels": 4,
@@ -34,6 +40,7 @@
   "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,
@@ -41,11 +48,14 @@
   "resnet_out_scale_factor": 1.0,
   "resnet_skip_time_act": false,
   "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
   "sample_size": 64,
   "time_cond_proj_dim": null,
   "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
   "time_embedding_type": "positional",
   "timestep_post_act": null,
+  "transformer_layers_per_block": 1,
   "up_block_types": [
     "UpBlock2D",
     "CrossAttnUpBlock2D",

unet/diffusion_pytorch_model.bin

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vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.16.0.dev0",
+  "_diffusers_version": "0.25.0.dev0",
   "act_fn": "silu",
   "block_out_channels": [
     128,
@@ -14,6 +14,7 @@
     "DownEncoderBlock2D",
     "DownEncoderBlock2D"
   ],
+  "force_upcast": true,
   "in_channels": 3,
   "latent_channels": 4,
   "layers_per_block": 2,

vae/diffusion_pytorch_model.bin

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