Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
art
ThinkAI_Hackathon
Instructions to use medmac01/beldi-moroccan-interior-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use medmac01/beldi-moroccan-interior-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("medmac01/beldi-moroccan-interior-2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of beldi-v2 moroccan interior in a rooftop space" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the beldi-v2 concept trained by medmac01 on the medmac01/dreambooth-moroccan-design-v2 dataset.
This is a Stable Diffusion model fine-tuned on the beldi-v2 concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of beldi-v2 moroccan interior
This model was created as part of the ThinkAI Hackathon organized by @1337_Coding_School & @MathMaroc 🔥. Visit the ThinkAI Page for more info.
Description
This is a Stable Diffusion model fine-tuned on moroccan interior images.
Based on DreamBooth Stable Diffusion models.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('medmac01/beldi-moroccan-interior-2')
image = pipeline().images[0]
image
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