Instructions to use Omarito2412/FLUX-FaeTastic-Details with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Omarito2412/FLUX-FaeTastic-Details 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("Omarito2412/FLUX-FaeTastic-Details") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
FaeTastic-Details

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Model description
This was trained on Flux Dev. It does have some effect on Schnell, but the effect is not as strong or as impressive.
Trigger words
You should use flux to trigger the image generation.
You should use lora to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Omarito2412/FLUX-FaeTastic-Details
Base model
black-forest-labs/FLUX.1-dev