Instructions to use TavisInferno/madison-seraphim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TavisInferno/madison-seraphim 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("TavisInferno/madison-seraphim") prompt = "madison_seraphim" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
madison seraphim
Model description
SDXL LoRA trained on the Madison Seraphim character. Optimized for photorealistic social media aesthetics, candid photography, and anatomical accuracy. Best used with realistic checkpoints like RealVisXL or Juggernaut XL.
Trigger words
You should use madison_seraphim to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Model tree for TavisInferno/madison-seraphim
Base model
black-forest-labs/FLUX.1-dev