Instructions to use AX1Y2JP/FLUX.1-schnell-krea-lora-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AX1Y2JP/FLUX.1-schnell-krea-lora-merged 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("AX1Y2JP/FLUX.1-schnell-krea-lora-merged") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Merged flux-krea-extracted-lora into FLUX.1-schnell and uploaded the full merged checkpoint for easier use.
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Model tree for AX1Y2JP/FLUX.1-schnell-krea-lora-merged
Base model
black-forest-labs/FLUX.1-schnell