metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- transformers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
gokuwiro, A muscular young fighter with spiky black hair, wearing a torn
orange gi, standing in a battle stance, sweat dripping from his forehead,
eyes full of determination.
output:
url: goku2.png
- text: >-
gokuwiro, A cocky fighter with wild blonde hair, wearing a sleeveless
fighting suit, charging towards his opponent with a confident grin, his
fists glowing with power.
output:
url: goku3.png
license: other
instance_prompt: gokuwiro
base_model:
- black-forest-labs/FLUX.1-dev
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
Model Details
Model Description
This LoRA is trained for anyone who like Goku from Dragon Ball anime character.
- Developed by: [Wiro AI - ML Team]
- Shared by: Wiro AI
- Prompt
- gokuwiro, A muscular young fighter with spiky black hair, wearing a torn orange gi, standing in a battle stance, sweat dripping from his forehead, eyes full of determination.
- Prompt
- gokuwiro, A cocky fighter with wild blonde hair, wearing a sleeveless fighting suit, charging towards his opponent with a confident grin, his fists glowing with power.
Trigger words
You should use gokuwiro to trigger the image generation.
Civitai model link: civitai
from diffusers import FluxPipeline
import torch
pipeline = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('WiroAI/Goku-Dragon-Ball-Flux-LoRA', weight_name='goku_flux_lora.safetensors')
image = pipeline('gokuwiro, A muscular young fighter with spiky black hair, wearing a torn orange gi, standing in a battle stance, sweat dripping from his forehead, eyes full of determination.').images[0]
image.save("output.png")