Hopefully this works

.gitattributes

@@ -32,4 +32,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
-packed-refs/**/* filter=lfs diff=lfs merge=lfs -text
+packed-refs/**/* filter=lfs diff=lfs merge=lfs -text
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+samples/2.png filter=lfs diff=lfs merge=lfs -text
+samples/3.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,9 @@
+---
+license: creativeml-openrail-m
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- endpoints-template
+inference: true
+---

args.json

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+{
+  "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "pretrained_vae_name_or_path": "stabilityai/sd-vae-ft-mse",
+  "revision": "fp16",
+  "tokenizer_name": null,
+  "instance_data_dir": null,
+  "class_data_dir": null,
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+  "class_prompt": null,
+  "save_sample_prompt": "<fuenPhoto> animal in the jungle",
+  "save_sample_negative_prompt": null,
+  "n_save_sample": 4,
+  "save_guidance_scale": 7.5,
+  "save_infer_steps": 50,
+  "pad_tokens": false,
+  "with_prior_preservation": true,
+  "prior_loss_weight": 1.0,
+  "num_class_images": 50,
+  "output_dir": "/content/drive/MyDrive/stable_diffusion_weights/photorealistic-v2",
+  "seed": 1337,
+  "resolution": 512,
+  "center_crop": false,
+  "train_text_encoder": true,
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+  "sample_batch_size": 6,
+  "num_train_epochs": 20,
+  "max_train_steps": 4000,
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+  "learning_rate": 1e-06,
+  "scale_lr": false,
+  "lr_scheduler": "constant",
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+  "use_8bit_adam": true,
+  "adam_beta1": 0.9,
+  "adam_beta2": 0.999,
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+  "adam_epsilon": 1e-08,
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+  "push_to_hub": false,
+  "hub_token": null,
+  "hub_model_id": null,
+  "logging_dir": "logs",
+  "log_interval": 10,
+  "save_interval": 500,
+  "save_min_steps": 0,
+  "mixed_precision": "fp16",
+  "not_cache_latents": false,
+  "hflip": false,
+  "local_rank": -1,
+  "concepts_list": [
+    {
+      "instance_prompt": "<fuenPhoto> person",
+      "class_prompt": "photograph of a person",
+      "instance_data_dir": "/content/data/photo_person_inst",
+      "class_data_dir": "/content/data/photo_person"
+    },
+    {
+      "instance_prompt": "<fuenPhoto> animal",
+      "class_prompt": "photograph of an animal",
+      "instance_data_dir": "/content/data/photo_animal_inst",
+      "class_data_dir": "/content/data/photo_animal"
+    },
+    {
+      "instance_prompt": "<fuenPhoto> red flower",
+      "class_prompt": "photograph of a red flower",
+      "instance_data_dir": "/content/data/photo_red_flower_inst",
+      "class_data_dir": "/content/data/photo_red_flower"
+    },
+    {
+      "instance_prompt": "<fuenPhoto> white flower",
+      "class_prompt": "photograph of a white flower",
+      "instance_data_dir": "/content/data/photo_white_flower_inst",
+      "class_data_dir": "/content/data/photo_white_flower"
+    }
+  ]
+}

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": 224,
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
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+    0.40821073
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+  "resample": 3,
+  "size": 224
+}

model.ckpt

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model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.9.0",
+  "requires_safety_checker": false,
+  "scheduler": [
+    "diffusers",
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+  ],
+  "text_encoder": [
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+    "CLIPTextModel"
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+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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scheduler/scheduler_config.json

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text_encoder/config.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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unet/config.json

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vae/config.json

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