| 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") | |
| ``` |