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-60000/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-60000/optimizer.bin
- Command line
-
hf download hf://iamkaikai/text-rendering/checkpoint-60000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/iamkaikai/text-rendering/resolve/main/checkpoint-60000/optimizer.bin
6.59 MB
- Xet hash:
- 772586862dce3d5bfe3a6e7615cef185823f285b8195264643a0202aae8e0775
- Size of remote file:
- 6.59 MB
- SHA256:
- 96f416edc5eb5734d585f0d3e7b6cd6128aa1c2ad0a18104bec61bcbe40dec7c
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