Image-to-Image
Diffusers
Safetensors
English
font-diffusion
contrastive-learning
font-generation
character-synthesis
style-transfer
dpm-solver
Instructions to use dzungpham/font-architect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dzungpham/font-architect with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dzungpham/font-architect", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoint_step_1000
- checkpoint_step_1250
- checkpoint_step_1500
- checkpoint_step_2000
- checkpoint_step_250
- checkpoint_step_2500
- checkpoint_step_3000
- checkpoint_step_3500
- checkpoint_step_4000
- checkpoint_step_4500
- checkpoint_step_500
- checkpoint_step_5000
- checkpoint_step_5500
- checkpoint_step_6000
- checkpoint_step_6500
- checkpoint_step_7000
- checkpoint_step_750
- checkpoint_step_7500
- checkpoint_step_8000
- checkpoint_step_8500
- checkpoint_step_9000
- final
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- 3.8 kB