Text-to-Image
Diffusers
Safetensors
OpenVINO
StableDiffusionPipeline
stable-diffusion
sd1.5
LCM
fluently
openvino-export
Instructions to use hsuwill000/Fluently-v4-LCM-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hsuwill000/Fluently-v4-LCM-openvino with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hsuwill000/Fluently-v4-LCM-openvino", 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
This model was converted to OpenVINO from fluently/Fluently-v4-LCM using optimum-intel
via the export space.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVStableDiffusionPipeline
model_id = "hsuwill000/Fluently-v4-LCM-openvino"
model = OVStableDiffusionPipeline.from_pretrained(model_id)
- Downloads last month
- 2
Model tree for hsuwill000/Fluently-v4-LCM-openvino
Base model
runwayml/stable-diffusion-v1-5 Finetuned
fluently/Fluently-v4-LCM