Instructions to use DavisD-Grant/elenagolden with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DavisD-Grant/elenagolden with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("v1su4/flux-lora-fast-training-lut-0200", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DavisD-Grant/elenagolden") prompt = "Hel" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Elena golde
.webp)
- Prompt
- Hel
- Negative Prompt
- Nel

- Prompt
- Ham
- Negative Prompt
- Nam
Trigger words
You should use elenagolde to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for DavisD-Grant/elenagolden
Base model
black-forest-labs/FLUX.1-dev