Instructions to use RinKana/Ganyu-face-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RinKana/Ganyu-face-generation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RinKana/Ganyu-face-generation", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ganyu Face Generation
This is a fine-tuned DDPM model for generating anime-style faces of Ganyu from Genshin Impact.
Model Details
- Base Model: google/ddpm-celebahq-256
- Training Data: Ganyu Genshin Impact Anime Faces
- Epochs: 15
- Image Size: 256
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('RinKana/Ganyu-face-generation')
image = pipeline().images[0]
image.save('generated_ganyu.png')
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