Instructions to use flax/artstation-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/artstation-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/artstation-diffusion", 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
6b81294 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a3da29eba7a6427b1fab8b6b0a87c8710a1698be5d991b918366f0097ce155f1
size 3438108367
|