Instructions to use OneAndZeros/Madeline12345 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OneAndZeros/Madeline12345 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("OneAndZeros/Madeline12345") prompt = "Madeline12345" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Madeline12345
A Flux LoRA trained on a local computer with Fluxgym
Trigger words
You should use Madeline12345 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 OneAndZeros/Madeline12345
Base model
black-forest-labs/FLUX.1-dev