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
Add repository citation and ORCID
Browse filesAdds a repository-specific BibTeX citation, ORCID identifier, and upstream citation guidance. Existing card content and metadata are preserved.
README.md
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<!-- gokaygokay-citation -->
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## Citation and attribution
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This model release is maintained by [Gökay Aydoğan](https://orcid.org/0000-0002-2343-9433). 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.
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```bibtex
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@software{aydogan2024flux_game_assets_lora_v2,
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author = {Aydoğan, Gökay},
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title = {{Flux-Game-Assets-LoRA-v2}},
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year = {2024},
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publisher = {Hugging Face},
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url = {https://huggingface.co/gokaygokay/Flux-Game-Assets-LoRA-v2},
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note = {Model repository; cite the base model and upstream datasets as required.}
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}
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```
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