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
File size: 133 Bytes
7e9a2a2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:21feb7a72efbf40a8e72ed418fa57c28cc0900df4fdb4295d7f9934c074077a5
size 68623938
|