---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- wildcard
widget:
- text: In space, there is a spaceship docked here, and Wall-E-01 walks in the spaceship，8K
    resolution, 16:9
---

# DreamBooth model for the Wall-E-01 concept trained by DiamondYin.

This is a Stable Diffusion model fine-tuned on the Wall-E-01 concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of Wall-E-01 robot**

This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!

## Description


This is a Stable Diffusion model fine-tuned on `robot` images for the wildcard theme, 
for the Hugging Face DreamBooth Hackathon, from the HF CN Community, 
corporated with the HeyWhale.The production cost of WALL-E is $180 million. It tells about a lonely robot designed to clean up the polluted earth. The unique feature of this film is that there is almost no dialogue in the first 40 minutes or so. On the contrary, the audience enters a world of robots; How it thinks, how it works, how it speaks (or doesn't speak). Pixar's classic film was a success. The film has a global box office of more than 520 million US dollars, won a number of Oscar nominations, and ranked first on Time magazine's list of the best films of the decade.
Now we can easily create Wally's pictures and present the script's pictures with the help of the Stable Diffusion model. We can write a series of stories for WALL-E, but we don't have to bear such expensive costs. This is the advantage of the Stable Diffusion model




## Usage

```python
from diffusers import StableDiffusionPipeline

pipeline = StableDiffusionPipeline.from_pretrained('DiamondYin/Wall-E-01-robot-heywhale')
image = pipeline().images[0]
image
```