Instructions to use leonel4rd/Flux_character with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Flux_character 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("leonel4rd/Flux_character") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("leonel4rd/Flux_character")
prompt = "-"
image = pipe(prompt).images[0]Design character sheet

- Prompt
- -
Trigger words
You should use CharacterDesignFLUX to trigger the image generation.
You should use high_detailed to trigger the image generation.
You should use captured in high detail to trigger the image generation.
You should use magic particles to trigger the image generation.
You should use multiple references to trigger the image generation.
You should use reference sheet to trigger the image generation.
You should use white background to trigger the image generation.
You should use simple background to trigger the image generation.
You should use multiple views to trigger the image generation.
You should use upper body to trigger the image generation.
You should use front to trigger the image generation.
You should use from side to trigger the image generation.
You should use color palette reference 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 leonel4rd/Flux_character
Base model
black-forest-labs/FLUX.1-dev