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ddpm-fake-icons
mayur7garg/ddpm-fake-icons
ddpm-fake-icons is a unconditional image generation model from mayur7garg. Use it for the unconditional image generation task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as mit.
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At a glance
- Task
- Unconditional Image Generation
- Library
- diffusers
- License
- mit
- Access
- Public
- Created
- Sep 28, 2023
- Updated
- Oct 6, 2023
- SHA
- ebbfe5fe
Model card
From the Hugging Face model README
Unconditional icon generation using DDPM Diffusion
Data set used for training: Kaggle - Icons-50
Reference code for training: Kaggle - Generating Fake Icons using DDPM Diffusion
Image samples
Sample code for use in Google Colab
Install the necessary packages
!python3 -m pip install diffusers==0.21.* accelerate
Generate images using DDPM Pipeline
from matplotlib import pyplot as plt
from diffusers import DDPMPipeline
ddpm = DDPMPipeline.from_pretrained("mayur7garg/ddpm-fake-icons")
ddpm.to("cuda")
inference_image = ddpm(
batch_size = 36,
num_inference_steps = 1000
).images
plt.figure(figsize = (18, 18), dpi = 120)
for i, image in enumerate(inference_image):
plt.subplot(6, 6, i + 1)
plt.imshow(image)
plt.axis(False)
plt.tight_layout()
plt.show()
- Task
- Unconditional Image Generation
- Library
- diffusers
- License
- mit
- Languages
- en
- Created
- Sep 28, 2023
- Updated
- Oct 6, 2023