Instructions to use snadd/monolith-style-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use snadd/monolith-style-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("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("snadd/monolith-style-lora") prompt = "mnlth style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
monolith style lora
Model description
Monolith TCG style LoRA v2, Flux.2 Klein 9B base, 43 reference images, 2000 steps, 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-klein-9b-base-trainer.
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