| license: mit | |
| ## 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) | |
| ``` |