Instructions to use den123/TextPortrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use den123/TextPortrait 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("den123/TextPortrait") prompt = "textportrait, A stylized portrait of Taylor Swift made entirely of texts in various colors, creating the contours of a woman's face. The image uses typography to define facial features, shadows, and hair against a black background, illustrating creative text art." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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output:
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url: images/textportrait, A stylized portrait of Angelina J....png
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textportrait, A stylized portrait of Taylor Swift made entirely of texts in
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various colors, creating the contours of a woman's face. The image uses
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- diffusers
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- template:diffusion-lora
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widget:
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- text: >-
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textportrait, A stylized portrait of Taylor Swift made entirely of texts in
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various colors, creating the contours of a woman's face. The image uses
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