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## Use Cases
### Data Generation
Businesses can generate data for their their use cases by inputting text and getting image outputs.
### Immersive Conversational Chatbots
Chatbots can be made more immersive if they provide contextual images based on the input provided by the user.
### Creative Ideas for Fashion Industry
Different patterns can be generated to obtain unique pieces of fashion. Text-to-image models make creations easier for designers to conceptualize their design before actually implementing it.
### Architecture Industry
Architects can utilise the models to construct an environment based out on the requirements of the floor plan. This can also include the furniture that has to be placed in that environment.
## Task Variants
You can contribute variants of this task [here](https://github.com/huggingface/hub-docs/blob/main/tasks/src/text-to-image/about.md).
## Inference
You can use diffusers pipelines to infer with `text-to-image` models.
```python
from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
model_id = "stabilityai/stable-diffusion-2"
scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a photo of an astronaut riding a horse on mars"
image = pipe(prompt).images[0]
```
You can use [huggingface.js](https://github.com/huggingface/huggingface.js) to infer text-to-image models on Hugging Face Hub.
```javascript
import { HfInference } from "@huggingface/inference";
const inference = new HfInference(HF_ACCESS_TOKEN);
await inference.textToImage({
model: "stabilityai/stable-diffusion-2",
inputs: "award winning high resolution photo of a giant tortoise/((ladybird)) hybrid, [trending on artstation]",
parameters: {
negative_prompt: "blurry",
},
});
```
## Useful Resources
- [Hugging Face Diffusion Models Course](https://github.com/huggingface/diffusion-models-class)
- [Getting Started with Diffusers](https://huggingface.co/docs/diffusers/index)
- [Text-to-Image Generation](https://huggingface.co/docs/diffusers/using-diffusers/conditional_image_generation)
- [MinImagen - Build Your Own Imagen Text-to-Image Model](https://www.assemblyai.com/blog/minimagen-build-your-own-imagen-text-to-image-model/)
- [Using LoRA for Efficient Stable Diffusion Fine-Tuning](https://huggingface.co/blog/lora)
- [Using Stable Diffusion with Core ML on Apple Silicon](https://huggingface.co/blog/diffusers-coreml)
- [A guide on Vector Quantized Diffusion](https://huggingface.co/blog/vq-diffusion)
- [🧨 Stable Diffusion in JAX/Flax](https://huggingface.co/blog/stable_diffusion_jax)
- [Running IF with 🧨 diffusers on a Free Tier Google Colab](https://huggingface.co/blog/if)
This page was made possible thanks to the efforts of [Ishan Dutta](https://huggingface.co/ishandutta), [Enrique Elias Ubaldo](https://huggingface.co/herrius) and [Oğuz Akif](https://huggingface.co/oguzakif).
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