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Mau124/diffusion-model-cartoon10k-96
diffusion-model-cartoon10k-96 is a unconditional image generation model from Mau124. 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.
This model is a diffusion model for unconditional image generation of cartoon faces using the cartoon10k dataset. The code for this model can be found on github.
Downloads · 30 days
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From the Hugging Face model README
This model is a diffusion model for unconditional image generation of cartoon faces using the cartoon10k dataset. The code for this model can be found on github.
The pipeline for this model was created following Diffusion Models Class 🧨
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Mau124/diffusion-model-cartoon10k-96')
image = pipeline().images[0]
image
Results of generating randomly 16 96x96 images:
