Text-to-Image
Diffusers
English
SDXL
photorealistic
high-resolution
editorial
journalistic
ComfyUI
Automatic1111
Diffusers
Stable Diffusion
Stable Diffusion XL
latent diffusion
image generation
prompt engineering
visual storytelling
aesthetic
hallucinations
volumetric lighting
depth of field
candid photography
multi-subject
fantasy
surreal
experimental
Instructions to use MidnightRunner/MDNT_Illus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MidnightRunner/MDNT_Illus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MidnightRunner/MDNT_Illus", dtype=torch.bfloat16, device_map="cuda") prompt = "realistic, photorealistic, very aesthetic, best quality, absurdres, masterpiece, best quality, amazing quality, newest, scenery, depth of field, high-resolution, high definition, visually intense anaglyphic experience, hallucinations, editorial photography, journalistic style, candid, volumetric, candid, bow, fake animal ears, pleated skirt, thighhighs, 2girls, multiple girls, (colorful:1.2), rainbow, light particles, from above, volumetric lighting, ((adult girls:1.2)), _trippy_, realistic, photorealistic, very aesthetic, best quality, absurdres, masterpiece, best quality, amazing quality, newest, scenery, depth of field" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee