Instructions to use janiluuk/arch-neu-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janiluuk/arch-neu-4 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("janiluuk/arch-neu-4") prompt = "architechture stairs and platforms" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
arch-neu-4
A Flux LoRA trained on a local computer with Fluxgym
Trigger words
You should use architechture stairs and platforms 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 janiluuk/arch-neu-4
Base model
black-forest-labs/FLUX.1-schnell