Instructions to use snadd/monolith-style-lora-flux2dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use snadd/monolith-style-lora-flux2dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("snadd/monolith-style-lora-flux2dev") prompt = "mnlth style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
monolith style lora flux2dev
Model description
Monolith TCG style LoRA, Flux.2 dev base, 42 reference images (watermarks cropped), 2500 steps, lr 0.0001, trigger word "mnlth style"
Trigger words
You should use mnlth style 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-2-trainer.
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