Instructions to use Muapi/handwritten-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/handwritten-text with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/handwritten-text") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/handwritten-text: direct link, hf CLI and curl.
- Browser
- Download file 149 kB
-
https://huggingface.co/Muapi/handwritten-text/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/handwritten-text/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/handwritten-text/resolve/main/preview.jpg
149 kB

- Xet hash:
- 62ae1d37a569fbdc1530608186f4f09c57c1934f308a3228e0822f431ac2aa5c
- Size of remote file:
- 149 kB
- SHA256:
- e94f59caf72ae8bc1d74296ee70876e8c4da719645b8cebf6525127aefea3fb3
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