import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("luxmorocco/morocco-map-correction-model", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Morocco AI Map Correction
This model is fine-tuned from `google/ddpm-celebahq-256` to try and fix an erroneous map of Morocco
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('luxmorocco/morocco-map-correction-model')
error_image = load_your_error_map()
image = pipeline(error_image).images[0]
image
```
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