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
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```wbgmsst, <<your prompt>> ,white background``` for best results
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This LoRA is trained with [FAL Fast LoRA Trainer](https://fal.ai/models/fal-ai/flux-lora-fast-training) .
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```wbgmsst, <<your prompt>> ,white background``` for best results
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This LoRA is trained with [FAL Fast LoRA Trainer](https://fal.ai/models/fal-ai/flux-lora-fast-training) .
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Without LoRA
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With LoRA
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