Instructions to use NeuralGL/arcanegame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeuralGL/arcanegame 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("NeuralGL/arcanegame") prompt = "A pretty woman wearing jacket, one-sided blue hair with shaved side part of head, looks cool, posing for shot, bokeh, dark night futuristic city street background, in style of arcanegame" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
arcanegame
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- A pretty woman wearing jacket, one-sided blue hair with shaved side part of head, looks cool, posing for shot, bokeh, dark night futuristic city street background, in style of arcanegame

- Prompt
- A 30yo bearded asian man holds a katana, yakuza, looks tired and a bit dirty, portrait, in style of arcanegame

- Prompt
- A boy-child sits hugs his dog, under the rain, looks cool, amazing, evening, game, arcanegame
Trigger words
You should use arcanegame to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for NeuralGL/arcanegame
Base model
black-forest-labs/FLUX.1-dev