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
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/F5AI-75AI Dress Vouge (1).png | |
| text: '-' | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| # Checkpoint Flux1 Synthetic Raw | |
| <Gallery /> | |
| ## 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](/75AI/Checkpoint/tree/main) them in the Files & versions tab. | |