Diffusers
checkpoint
krea-2
realistic
turbo
photorealistic
base model
civitai
imported
Not-For-All-Audiences
Instructions to use Quiho/Parities_Nulparity_checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quiho/Parities_Nulparity_checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Quiho/Parities_Nulparity_checkpoint", dtype=torch.bfloat16, device_map="cuda") prompt = "a POV view from a table in a dark smoky jazz club, looking toward the back where a beautiful performer is singing on a slightly elevated stage, holding a microphone, eyes closed, lit by a spotlight, accompanied by two musicians behind her. She is wearing a bright yellow dress and her black short hair is in small braids. Right next to the viewer a waitress stands distracted by the song, turned away from the viewer to look at the stage in the midst of serving a small glass of whisky on the rocks to the viewer. The waitress has a long dark curly hair and is wearing a white shirt and a short black skirt. A few more tables can be seen in the dimly lit space, with enough space between for it not to seem crowded, sitting at the tables are a few people seen only as silhouettes from behind, some of them seemingly smoking or drinking but all having their attention caught by the singer. The atmosphere of the scene is captivating, enthralling, with the performer in central focus" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Not-For-All-Audiences
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