Instructions to use db900/encode-stream with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use db900/encode-stream with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("db900/encode-stream", 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
- Draw Things
- DiffusionBee
File size: 135 Bytes
8a6b7bd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:565cb2487351282e8e4dbeb88e63f4ad28217ce0439f5a8e6525a924807d2d9b
size 9524648592
|