Instructions to use farapart/t5_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use farapart/t5_encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("farapart/t5_encoder", 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
Download encoder.pth from farapart/t5_encoder: direct link, hf CLI and curl.
- Browser
- Download file 68.6 MB
-
https://huggingface.co/farapart/t5_encoder/resolve/main/encoder.pth
- Command line
-
hf download hf://farapart/t5_encoder/encoder.pth
-
curl -L -o encoder.pth https://huggingface.co/farapart/t5_encoder/resolve/main/encoder.pth
68.6 MB
- Xet hash:
- 371d60a9cc165ff93bfe1ece84315bcb686a7b78350335733507e91942455687
- Size of remote file:
- 68.6 MB
- SHA256:
- 21feb7a72efbf40a8e72ed418fa57c28cc0900df4fdb4295d7f9934c074077a5
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