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]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.}
}
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Model tree for gokaygokay/Flux-Game-Assets-LoRA-v2
Base model
black-forest-labs/FLUX.1-dev