Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
sdxl
visionix
visionix-alpha
realism
hyperrealism
photorealism
photo
cinematic
nature
human
lighting
trained
Instructions to use ehristoforu/Visionix-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ehristoforu/Visionix-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ehristoforu/Visionix-alpha", 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 `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (95698aabb71d7e49624d32333a5db87a3edeb22c) Co-authored-by: Evgeniy Hristoforu <ehristoforu@users.noreply.huggingface.co>cf732b1