inference: true | |
language: | |
- en | |
tags: | |
- stable-diffusion | |
- text-to-image | |
# Corporate Memphis is an finetuned Stable Diffusion by [@jinofcoolnes](https://twitter.com/jinofcoolnes) | |
Use prompt: 'Corporate_Memphis digital illustration' | |
### 🧨 Diffusers | |
This model can be used just like any other Stable Diffusion model. For more information, | |
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). | |
You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX](). | |
```python | |
from diffusers import StableDiffusionPipeline | |
import torch | |
model_id = "jinofcoolnes/corporate_memphis" | |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
pipe = pipe.to("cuda") | |
prompt = "coliseum full of different cars with different colors and shapes; Corporate_Memphis digital illustration" | |
image = pipe(prompt).images[0] | |
image.save("./cars.png") | |
``` |