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
Download content_encoder.pth from dzungpham/font-architect: direct link, hf CLI and curl.
- Browser
- Download file 4.77 MB
-
https://huggingface.co/dzungpham/font-architect/resolve/main/content_encoder.pth
- Command line
-
hf download hf://dzungpham/font-architect/content_encoder.pth
-
curl -L -o content_encoder.pth https://huggingface.co/dzungpham/font-architect/resolve/main/content_encoder.pth
4.77 MB
- Xet hash:
- 092f365a025cfb3a078cb0b6977c7f1ad48c2e2a59cd863a3b74779427c8f7f8
- Size of remote file:
- 4.77 MB
- SHA256:
- e5b52582473579031bd0f935abbb9a3e5cb3727dccc25e75f77d1f41d3cbb3ff
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