Duplicate from ZB-Tech/Text-to-Image

Co-authored-by: S.V.Surya Narayana Reddy <ZB-Tech@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+license: openrail++
+library_name: diffusers
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: a photo of TOK dog
+widget:
+- text: Draw a picture of two female boxers fighting each other.
+  output:
+    url: images/example_9xsyd09gw.png
+datasets:
+- ZB-Tech/DreamXL
+language:
+- en
+
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# SDXL LoRA Fine-tuning - ZB-Tech/Text-To-Image
+
+<Gallery />
+
+## Model description
+
+These are ZB-Tech/Text-to-Image LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+
+##### How to use
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/ZB-Tech/Text-to-Image"
+headers = {"Authorization": "Bearer HF_API_KEY"}
+
+def query(payload):
+	response = requests.post(API_URL, headers=headers, json=payload)
+	return response.content
+image_bytes = query({
+	"inputs": "Astronaut riding a horse",
+})
+# You can access the image with PIL.Image for example
+import io
+from PIL import Image
+image = Image.open(io.BytesIO(image_bytes))
+```
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](suryasuri/Surya/tree/main) them in the Files & versions tab.

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",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "size": 224
+}

logs/dreambooth-lora-sd-xl/1710031259.874818/events.out.tfevents.1710031259.b29ee4b0c1b7.3240.1

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+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
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+adam_weight_decay_text_encoder: 0.001
+allow_tf32: false
+cache_dir: null
+caption_column: prompt
+center_crop: false
+checkpointing_steps: 717
+checkpoints_total_limit: null
+class_data_dir: null
+class_prompt: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: surya
+do_edm_style_training: false
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 3
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+image_column: image
+instance_data_dir: null
+instance_prompt: a photo of SVSNR surya person
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 500
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 250
+num_validation_images: 4
+optimizer: AdamW
+output_dir: Surya
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+repeats: 1
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+resolution: 1024
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+scale_lr: false
+seed: 0
+snr_gamma: 5.0
+text_encoder_lr: 5.0e-06
+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: true
+use_dora: false
+validation_epochs: 50
+validation_prompt: null
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model_index.json

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+  "_diffusers_version": "0.6.0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "safety_checker": [
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+  ],
+  "scheduler": [
+    "diffusers",
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+  ],
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+  ],
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+    "diffusers",
+    "UNet2DConditionModel"
+  ],
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+    "diffusers",
+    "AutoencoderKL"
+  ]
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