Instructions to use echarlaix/tiny-random-latent-consistency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use echarlaix/tiny-random-latent-consistency with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("echarlaix/tiny-random-latent-consistency", 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
Commit History
-
Adding OpenVINO file of this model
Verified signatureBeep boop I am the [OpenVINO exporter bot 🤖](https://huggingface.co/spaces/echarlaix/openvino-export). On behalf of [echarlaix](https://huggingface.co/echarlaix), I would like to add to this repository the exported OpenVINO model.4866dbb
-
update model
ea16e1f
-
add model
c532fe0