Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
photoreal
real
realism
colors
cinematic
detail
lighting
facial expression
sateluco
Instructions to use John6666/xl-sat-ior-imitation-of-reality-xl-sat-ior-v5-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use John6666/xl-sat-ior-imitation-of-reality-xl-sat-ior-v5-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/xl-sat-ior-imitation-of-reality-xl-sat-ior-v5-sdxl", 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
metadata
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- text-to-image
- stable-diffusion
- stable-diffusion-xl
- realistic
- photorealistic
- photoreal
- real
- realism
- colors
- cinematic
- detail
- lighting
- facial expression
- sateluco