Instructions to use xmarkinmtlx/ruddylad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xmarkinmtlx/ruddylad 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("xmarkinmtlx/ruddylad") prompt = "A ultra detailed image of RUDDYLAD wearing his signature red suit and giant head, at Machu Picchu, standing on the ancient terraces, using a holographic map to uncover hidden ruins beneath the site, surrounded by majestic mountains and ancient spirits." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
ruddylad
Model description
A model that generates images of Ruddy Lad
Trigger words
You should use RUDDYLAD 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-general-training.
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Model tree for xmarkinmtlx/ruddylad
Base model
black-forest-labs/FLUX.1-dev