Instructions to use davidrd123/Flux-Erte-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davidrd123/Flux-Erte-Lora 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("davidrd123/Flux-Erte-Lora") prompt = "illustration erte_style, The image features a dynamic dancer with an elongated figure, adorned in a vibrant, flowing outfit blending fiery red, orange, and purple hues. Her pose is lively and full of movement, accentuated by long, flowing hair and ribbons. Her gold bracelets and black accents add contrast.The background is plain, highlighting the dancer's bold colors and energetic form. A sense of elegance and vitality is conveyed through the composition, with a signature visible at the bottom right, and 'Gypsy Dancer' written in the lower left corner." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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