Instructions to use AICU/deltamon-flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AICU/deltamon-flux-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("AICU/deltamon-flux-lora") prompt = "DeltamonStamp" 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("AICU/deltamon-flux-lora")
prompt = "DeltamonStamp"
image = pipe(prompt).images[0]deltamon flux lora
Model description
デルタもんStampをベースにしたLoRAです。特徴的な日本語の描き文字が化けて可愛いですね。 This LoRA is based on Deltamon Stamp. It is cute with distinctive Japanese drawn characters that have been transformed.
Term of Use
Based on Deltamon user license and guidlines. Respect it for commercial use.
Trigger words
You should use DeltamonStamp 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.
- Downloads last month
- 2
Model tree for AICU/deltamon-flux-lora
Base model
black-forest-labs/FLUX.1-dev