Instructions to use Ducco/Dahi-Puri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ducco/Dahi-Puri with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ducco/Dahi-Puri", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of ddahi puri" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Dreambooth Model for Food trained on a custom dataset.
This is a Stable Diffusion model fine-tuned on the food concept with DreamBooth. It can be used by modifying the instance_prompt: A photo of ddahi puri
This model was created as part of the DreamBooth Hackathon 🔥.
Description
Model finetuned on the pictures of Dahi Puri, a kind of chaat, made for the Dreambooth Hackathon
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Ducco/Dahi-Puri')
image = pipeline().images[0]
image
Examples
Some examples of images generated by the model are shown below, with their prompts.
a photo of Modi eating ddahi puri food, high resolution
a photo of Trump with ddahi puri
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