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 checkpoint-80000/optimizer.bin from iamkaikai/text-rendering: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/iamkaikai/text-rendering/resolve/main/checkpoint-80000/optimizer.bin
- Command line
-
hf download hf://iamkaikai/text-rendering/checkpoint-80000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/iamkaikai/text-rendering/resolve/main/checkpoint-80000/optimizer.bin
6.59 MB
- Xet hash:
- a4b534c9f8a5d03846ab1df0e95848d37c6a1f82c50beb67e89ee8696c14da84
- Size of remote file:
- 6.59 MB
- SHA256:
- 197082d5f951df60183f5613ed22b5a703c72d08b0f998e2122ea5e482506429
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