Instructions to use 75AI/Checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 75AI/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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("75AI/Checkpoint") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Checkpoint Flux1 Synthetic Raw
.png)
- Prompt
- -
Model description
Checkpoint Flux1 Realism is a versatile model built to handle a wide range of creative product types. It aims to combine flexibility, efficiency, and quick understanding into a unified model.
This model includes: Photography content (80%) Art and animation content (20%)
Download model
Download them in the Files & versions tab.
- Downloads last month
- 16
Model tree for 75AI/Checkpoint
Base model
black-forest-labs/FLUX.1-dev