Instructions to use VHKE/babacifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/babacifier 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("VHKE/babacifier") prompt = "babacifier in a hand of a baby --d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
babacifier
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- babacifier in a hand of a baby --d 45

- Prompt
- babacifier in a baby's mouth --d 45
Trigger words
You should use babacifier 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 VHKE/babacifier
Base model
black-forest-labs/FLUX.1-dev