Instructions to use yachty66/flux_dev_lora_me_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yachty66/flux_dev_lora_me_v1 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("yachty66/flux_dev_lora_me_v1") prompt = "woman with red hair, playing chess at the park, bomb going off in the background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add model files
Browse files- input/IMG_3543.txt +1 -0
input/IMG_3543.txt
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A close-up portrait with a neutral expression, taken indoors under bright lighting with a wooden and white background.
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