Instructions to use dipoabdul/corder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dipoabdul/corder 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("dipoabdul/corder") prompt = "cord_rbp, man dressed in 19th-century Victorian attire. He wears a tall, brown top hat, a long maroon coat, a cream waistcoat, and light gray trousers. His ensemble is complemented by a red cravat. He holds a wooden cane in his right hand. The background features a rustic wooden door and stone columns, evoking a historical setting." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
corder

- Prompt
- cord_rbp, man dressed in 19th-century Victorian attire. He wears a tall, brown top hat, a long maroon coat, a cream waistcoat, and light gray trousers. His ensemble is complemented by a red cravat. He holds a wooden cane in his right hand. The background features a rustic wooden door and stone columns, evoking a historical setting.
Model description
character _Lora
Trigger words
You should use cord_rbp to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for dipoabdul/corder
Base model
black-forest-labs/FLUX.1-dev