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sd-class-ukiyo-e-256
alkzar90/sd-class-ukiyo-e-256
sd-class-ukiyo-e-256 is a unconditional image generation model from alkzar90. 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 Ukiyo-e images ✍ 🎨. The model was train using fine-tuning with the google/ddpm-celebahq-256 pretrain-model and the dataset: https://huggingface.co…
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At a glance
- Task
- Unconditional Image Generation
- Library
- diffusers
- License
- mit
- Access
- Public
- Created
- Jan 2, 2023
- Updated
- Jan 5, 2023
- SHA
- 65d89c7b
Spaces
Model card
From the Hugging Face model README
Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨
This model is a diffusion model for unconditional image generation of Ukiyo-e images ✍ 🎨. The model was train using fine-tuning with the google/ddpm-celebahq-256 pretrain-model and the dataset: https://huggingface.co/datasets/huggan/ukiyoe2photo
- Google Colab notebook for experiment with the model and the sampling process using a Gradio App: https://colab.research.google.com/drive/1F7SH4T9y5fJKxj5lU9HqTzadv836Zj_G?usp=sharing
- Weights&Biases dashboard with training information: https://wandb.ai/alcazar90/fine-tuning-a-diffusion-model?workspace=user-alcazar90
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('alkzar90/sd-class-ukiyo-e-256')
image = pipeline().images[0]
image
Guidance
Prompt: A sakura tree
Prompt: An island with sunset at background
- Task
- Unconditional Image Generation
- Library
- diffusers
- License
- mit
- Created
- Jan 2, 2023
- Updated
- Jan 5, 2023