Instructions to use luxmorocco/morocco-map-correction-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use luxmorocco/morocco-map-correction-model with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
---
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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