Instructions to use elicara/wallacelora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elicara/wallacelora 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("elicara/wallacelora") prompt = "Portrait of man <lora:wallacelora:1.1> wallacelora wearing black t-shirt and black pants, playing synth, Paris street, wide shot, cinematic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Wallace

- Prompt
- Portrait of man <lora:wallacelora:1.1> wallacelora wearing black t-shirt and black pants, playing synth, Paris street, wide shot, cinematic

- Prompt
- Man <lora:wallacelora:1.1> wallacelora wearing black suit, white shirt, black tie, black pants, moustach, long hair, brushing his hair with a comb in office restroom, medium shot, cinematic
- Negative Prompt
- socks, beard, short hair, goatee
Model description
Wallace c'est notre Simone avec une moustache
Trigger words
You should use wallace 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 elicara/wallacelora
Base model
black-forest-labs/FLUX.1-dev