Instructions to use iamkaikai/text-rendering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamkaikai/text-rendering with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iamkaikai/amazing-logos-v5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iamkaikai/text-rendering") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from iamkaikai/text-rendering: direct link, hf CLI and curl.
- Browser
- Download file 492 kB
-
https://huggingface.co/iamkaikai/text-rendering/resolve/main/image_2.png
- Command line
-
hf download hf://iamkaikai/text-rendering/image_2.png
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curl -L -o image_2.png https://huggingface.co/iamkaikai/text-rendering/resolve/main/image_2.png
492 kB
