Instructions to use Tellart/SAMAIcollage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tellart/SAMAIcollage 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Tellart/SAMAIcollage") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| license: other | |
| base_model: black-forest-labs/FLUX.2-klein-9B | |
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| - flux | |
| - lora | |
| - diffusers | |
| - flux-2-klein | |
| # samaicollage | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `SAMAIcollage` to trigger the image generation. | |
| ## Download model | |
| [Download](/Tellart/SAMAIcollage/tree/main) them in the Files & versions tab. | |