Instructions to use esencb/text-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use esencb/text-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("esencb/text-image", 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: 134 Bytes
bd6d8c0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:72df7235f726ebb65ed243524c599424a30c3fca2688550a9794d1bdf95d96c0
size 492305335
|