Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
sdxl
fluetnly-xl
fluently
trained
Instructions to use fluently/Fluently-XL-Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fluently/Fluently-XL-Final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", 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
Plan to release a Fluently-XL-Final-Lightning
#2
by ywlee88 - opened
Nice work!
Do you have a plan to release a Fluently-XL-Final "Lightning" version that uses less than ten denoising steps like /
Fluently-XL-v3-Lightning?
"An intricately detailed, glowing topographic map of an island with high mountains and deep valleys surrounded by water. The map is illuminated with neon blue and white lines outlining the coast and mountain ranges, creating a futuristic and otherworldly ambiance. The water around the island shimmers with a reflective glow, enhancing the ethereal effect. Digital art, 3D rendering, high contrast, vibrant colors."