Instructions to use silentdriver/4b68f38c0b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silentdriver/4b68f38c0b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("silentdriver/4b68f38c0b", dtype=torch.bfloat16, device_map="cuda") 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
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Download text_encoder_2/README.md from silentdriver/4b68f38c0b: direct link, hf CLI and curl.
- Browser
- Download file 152 Bytes
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https://huggingface.co/silentdriver/4b68f38c0b/resolve/main/text_encoder_2/README.md
- Command line
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hf download hf://silentdriver/4b68f38c0b/text_encoder_2/README.md
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curl -L -o README.md https://huggingface.co/silentdriver/4b68f38c0b/resolve/main/text_encoder_2/README.md
152 Bytes
A single-safetensor version of Google's T5 v1.1 XXL encoder model in bfloat16 precision.
Intended to be used with text to image models such as PixArt.