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
File size: 2,746 Bytes
1ce5d77 c5a79c8 429580d c5a79c8 429580d c5a79c8 429580d c5a79c8 429580d c5a79c8 429580d 52e9d3e 49594f4 5ff1c23 8742c63 e759036 52a8ae2 b0c39b0 d325f3e eef0c1c 4268ea1 1ce5d77 52e9d3e efd7c5a 1b6ace9 bf78034 1b6ace9 f7c4404 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | ---
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](https://fal.ai/models/fal-ai/flux-lora-fast-training) .
<Gallery />
Without LoRA

With LoRA

<!-- gokaygokay-citation -->
## Citation and attribution
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.
```bibtex
@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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