38 lines
1.4 KiB
Markdown
38 lines
1.4 KiB
Markdown
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---
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license: mit
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---
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## Model Card: UnfilteredAI/Promt-generator
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### Model Overview
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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.
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### Intended Use
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This model is primarily intended for:
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- **Prompt generation** for text-to-image models.
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- Creative AI applications where generating high-quality, diverse image descriptions is critical.
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- Supporting AI artists and developers working on generative art projects.
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### How to Use
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To generate prompts using this model, follow these steps:
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1. Load the model in your PyTorch environment.
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2. Input your desired parameters for the prompt generation task.
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3. The model will return text descriptions based on the input, which can then be used with text-to-image models.
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**Example Code:**
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("UnfilteredAI/Promt-generator")
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model = AutoModelForCausalLM.from_pretrained("UnfilteredAI/Promt-generator")
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prompt = "a red car"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs)
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generated_prompt = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(generated_prompt)
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```
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