Instructions to use SpiderSteeped/emilie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/emilie 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("SpiderSteeped/emilie") prompt = "a powerful, photorealistic image of a 3m1l13 woman, raw, 8k, lumix gh5" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
emilie

- Prompt
- a powerful, photorealistic image of a 3m1l13 woman, raw, 8k, lumix gh5
Trigger words
You should use 3m1l13 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 SpiderSteeped/emilie
Base model
black-forest-labs/FLUX.1-dev