Text-to-Audio
Diffusers
English
FlaxStableDiffusionPipeline
TPU
JAX
Flax
stable-diffusion
text-to-image
Instructions to use flax/dreamlike-diffusion-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/dreamlike-diffusion-1.0 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/dreamlike-diffusion-1.0", 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
- Xet hash:
- c1c0f35bd888e12aa92a0f13b6d97a07883f6ee936b0647c2fd0517142c922f6
- Size of remote file:
- 492 MB
- SHA256:
- 296a5f1bd1be6f5c453172ddf94b7b68a387b895a7143c6b1730343a987c4b90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.