Text-to-Image
Diffusers
flux
flux-diffusers
simpletuner
safe-for-work
lora
template:sd-lora
standard
Instructions to use davidrd123/Ben-Brand-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davidrd123/Ben-Brand-LoRA 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("davidrd123/Ben-Brand-LoRA") prompt = "In the style of a b3nbr4nd painting, Massive green serpent, coiled around a cracked stone obelisk, golden eyes glowing, dark blue scales with iridescent shimmer, open mouth revealing sharp fangs, pink sky fading into deep purple, sand dunes stretching into the horizon, ancient ruins partially buried, red banners flapping in the wind." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#56
by davidrd123 - opened
Generated example for model davidrd123/Ben-Brand-LoRA.
Prompt: In the style of a b3nbr4nd painting, Armored knight in reflective silver plate, tattered blue cape, standing on a vast frozen lake, sword planted in ice, glowing runes along blade, towering ice formations in background, pale full moon overhead, scattered red leaves on ice surface, distant torches flickering along mountain ridge.
davidrd123 changed pull request status to merged