Initial model upload

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README.md

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+---
+language: en
+license: cc0-1.0
+tags:
+- stable-diffusion
+- text-to-image
+- diffusers
+- image-generation
+- creative-commons
+---
+
+<div align="center">
+
+<h2>Free-Image-Generation-CC0</h2>
+
+A text-to-image generation model based on the Stable Diffusion architecture with Creative Commons Zero (CC0) licensing.<br><br>
+
+[![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Free--Image--Generation--CC0-blue)](https://huggingface.co/aiyouthalliance/Free-Image-Generation-CC0)
+
+</div>
+
+
+## Model Description
+
+Free-Image-Generation-CC0 is a text-to-image model based on the Stable Diffusion architecture. All images generated with this model are released under the Creative Commons Zero (CC0) license, making them freely usable for any purpose without attribution requirements.
+
+## Features
+
+- Text-to-image generation
+- CC0 licensing for all generated content
+- Built on the Stable Diffusion architecture
+- Compatible with the Hugging Face Diffusers library
+
+
+## Installation
+
+### Prerequisites
+
+- Python 3.7 or higher
+- CUDA-compatible GPU (recommended)
+
+### Setup
+
+1. Install the required dependencies:
+```bash
+pip install diffusers transformers torch
+```
+
+## Usage Examples
+
+### Basic Usage
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+# Load model from Hugging Face
+pipe = DiffusionPipeline.from_pretrained("aiyouthalliance/Free-Image-Generation-CC0")
+
+# Move to GPU if available
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+pipe = pipe.to(device)
+
+# Generate image
+prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+image = pipe(prompt).images[0]
+
+# Save the generated image
+image.save("astronaut_jungle.png")
+```
+
+### Memory-Optimized Usage
+
+```python
+# Load in half precision for memory efficiency
+pipe = DiffusionPipeline.from_pretrained(
+    "aiyouthalliance/Free-Image-Generation-CC0", 
+    torch_dtype=torch.float16
+)
+pipe = pipe.to(device)
+```
+
+### Advanced Parameter Customization
+
+```python
+# Customize generation parameters
+image = pipe(
+    prompt="A futuristic cityscape with flying cars, neon lights, detailed, 8k",
+    num_inference_steps=50,
+    guidance_scale=7.5,
+    negative_prompt="blurry, low quality, distorted"
+).images[0]
+```
+
+## Model Structure
+
+The model repository contains the following components:
+- `vae`: The variational autoencoder component
+- `unet`: The U-Net denoising component
+- `text_encoder`: The text encoder for processing prompts
+- `tokenizer`: For tokenizing the text inputs
+- `scheduler`: Controls the denoising process
+- `safety_checker`: For filtering content
+- `feature_extractor`: For image processing
+
+## Citation
+
+If you use this model in academic or research projects, please cite:
+
+```bibtex
+@misc{aiyouthalliance2025freeimagegencc0,
+  author = {AI Youth Alliance},
+  title = {Free-Image-Generation-CC0},
+  year = {2025},
+  publisher = {Hugging Face},
+  journal = {Hugging Face repository},
+  howpublished = {\url{https://huggingface.co/aiyouthalliance/Free-Image-Generation-CC0}}
+}
+```
+## Contact & Support
+
+For questions, feedback, or support regarding this model, please contact:
+- Hugging Face: [aiyouthalliance](https://huggingface.co/aiyouthalliance)

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.33.1",
+  "_name_or_path": "niloydebbarma/Free-Image-Generation-CC0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    null,
+    null
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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+    "StableDiffusionSafetyChecker"
+  ],
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+  "model_type": "clip",
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+    "torch_dtype": "float16",
+    "vocab_size": 49408
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+  "torch_dtype": "float16",
+  "transformers_version": "4.51.3",
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+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 512,
+    "torch_dtype": "float16"
+  }
+}

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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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