Instructions to use gokaygokay/Flux-Game-Assets-LoRA-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokaygokay/Flux-Game-Assets-LoRA-v2 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("gokaygokay/Flux-Game-Assets-LoRA-v2") prompt = "wbgmsst, 3D castle, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: apache-2.0
language:
- en
base_model:
- black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
library_name: diffusers
widget:
- text: wbgmsst, 3D castle, white background
output:
url: images/image1.jpg
- text: wbgmsst, crown with details, white background
output:
url: images/image2.jpg
- text: wbgmsst, brown and gold shield, white background
output:
url: images/image3.jpg
- text: wbgmsst, blue sword, white background
output:
url: images/image4.jpg
- text: wbgmsst, sword, white background
output:
url: images/image5.jpg
- text: wbgmsst, isometric chest 3D, white background
output:
url: images/example_c6ery92u6.png
- text: wbgmsst, isometric house 3D, white background
output:
url: images/example_dcaewsd9p.png
- text: wbgmsst, isometric warrior 3D, white background
output:
url: images/example_3ej5v4zhi.png
- text: wbgmsst, isometric dwarf character 3D, white background
output:
url: images/example_cm3yttgmk.png
- text: wbgmsst, isometric woman warrior 3D, white background
output:
url: images/example_e03m08gz4.png
- text: wbgmsst, isometric game town disney 3D game assets, white background
output:
url: images/example_gnzh6whpb.png
- text: wbgmsst, magic wizard staff, white background
output:
url: images/example_4pky6ep3e.png
- text: wbgmsst, grand wizard, white background
output:
url: images/example_3b6937c9b.png
- text: wbgmsst, realistic axe, white background
output:
url: images/example_y2bqpuphc.png
- text: wbgmsst, pixel art grand wizard, white background
output:
url: images/example_s9ffa6odt.png
tags:
- lora
Usage
wbgmsst, <<your prompt>> ,white background for best results
This LoRA is trained with FAL Fast LoRA Trainer .

- Prompt
- wbgmsst, 3D castle, white background

- Prompt
- wbgmsst, crown with details, white background

- Prompt
- wbgmsst, brown and gold shield, white background

- Prompt
- wbgmsst, blue sword, white background

- Prompt
- wbgmsst, sword, white background

- Prompt
- wbgmsst, isometric chest 3D, white background

- Prompt
- wbgmsst, isometric house 3D, white background

- Prompt
- wbgmsst, isometric warrior 3D, white background

- Prompt
- wbgmsst, isometric dwarf character 3D, white background

- Prompt
- wbgmsst, isometric woman warrior 3D, white background

- Prompt
- wbgmsst, isometric game town disney 3D game assets, white background

- Prompt
- wbgmsst, magic wizard staff, white background

- Prompt
- wbgmsst, grand wizard, white background

- Prompt
- wbgmsst, realistic axe, white background

- Prompt
- wbgmsst, pixel art grand wizard, white background
Without LoRA
With LoRA
Citation and attribution
This model release is maintained by Gökay Aydoğan. If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.
@software{aydogan2024flux_game_assets_lora_v2,
author = {Aydoğan, Gökay},
title = {{Flux-Game-Assets-LoRA-v2}},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/gokaygokay/Flux-Game-Assets-LoRA-v2},
note = {Model repository; cite the base model and upstream datasets as required.}
}

