Instructions to use slimgoodbody888/con-paint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use slimgoodbody888/con-paint 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("slimgoodbody888/con-paint") prompt = "con_paint, a small painted figure standing in a dark stone hall" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 120
Model tree for slimgoodbody888/con-paint
Base model
black-forest-labs/FLUX.1-dev