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README.md

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+
+---
+
+license: mit
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/Promt-generator-GGUF
+This is quantized version of [UnfilteredAI/Promt-generator](https://huggingface.co/UnfilteredAI/Promt-generator) created using llama.cpp
+
+# Original Model Card
+
+
+## Model Card: UnfilteredAI/Promt-generator
+
+### Model Overview
+The **UnfilteredAI/Promt-generator** is a text generation model designed specifically for creating prompts for text-to-image models. It leverages **PyTorch** and **safetensors** for optimized performance and storage, ensuring that it can be easily deployed and scaled for prompt generation tasks.
+
+
+### Intended Use
+This model is primarily intended for:
+- **Prompt generation** for text-to-image models.
+- Creative AI applications where generating high-quality, diverse image descriptions is critical.
+- Supporting AI artists and developers working on generative art projects.
+
+### How to Use
+To generate prompts using this model, follow these steps:
+
+1. Load the model in your PyTorch environment.
+2. Input your desired parameters for the prompt generation task.
+3. The model will return text descriptions based on the input, which can then be used with text-to-image models.
+
+**Example Code:**
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("UnfilteredAI/Promt-generator")
+model = AutoModelForCausalLM.from_pretrained("UnfilteredAI/Promt-generator")
+
+prompt = "a red car"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs)
+generated_prompt = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print(generated_prompt)
+```