Instructions to use WWALLACE2410/ai-modelface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WWALLACE2410/ai-modelface 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("WWALLACE2410/ai-modelface") prompt = "AI.ModelFace" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
AI.ModelFace
A Flux LoRA trained on a local computer with Fluxgym
Trigger words
You should use AI.ModelFace to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for WWALLACE2410/ai-modelface
Base model
black-forest-labs/FLUX.1-dev