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
- Draw Things
- DiffusionBee
Adding `diffusers` weights of this model
#1
by ehristoforu - opened
This PR adds fp16 weights in safetensors format to dreamdrop/VisioniX
dreamdrop-art changed pull request status to merged
Amazing model, thank you. I see that you have included of the text encoders and weights. Is there advantages or methods to use those additional files to improve the quality of my training? I want to get started with Dreambooth as well. Mostly, I'm just wondering what the purpose of all those extra files are. Thank you.,