Instructions to use Svngoku/studiopellosh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Svngoku/studiopellosh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Svngoku/studiopellosh") prompt = "A 12k man and is baby from Congo the 70s in style of Studio Pellosh" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#2
by Svngoku - opened
Generated example for model Svngoku/studiopellosh.
Prompt: A 8k high resolution black and white picture of an happy family in a car from Congo the 70s in style of Studio Pellosh
Svngoku changed pull request status to merged