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 Settings
- Draw Things
- DiffusionBee
File size: 1,127 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
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.
output:
url: images/example_cn4j7ojs7.png
- text: >-
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.
output:
url: images/example_gla4jaybh.png
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: textportrait
license: apache-2.0
---
# textportrait
<Gallery />
## Trigger words
You should use `textportrait` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/den123/TextPortrait/tree/main) them in the Files & versions tab.
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