Instructions to use FilipAura/nature-illustrations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FilipAura/nature-illustrations 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("FilipAura/nature-illustrations") prompt = "ohwxnaureill illustration of landscape" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("FilipAura/nature-illustrations")
prompt = "ohwxnaureill illustration of landscape"
image = pipe(prompt).images[0]Nature Illustrations
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- ohwxnaureill illustration of landscape
Trigger words
You should use ohwxnaureill 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 FilipAura/nature-illustrations
Base model
black-forest-labs/FLUX.1-dev