Instructions to use mindlywork/ancientshadows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mindlywork/ancientshadows 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("mindlywork/ancientshadows") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
ancientshadows

- Prompt
- -
Model description
ancientshadows
Trigger words
You should use 01dPh0t0 to trigger the image generation.
You should use black and white photo to trigger the image generation.
You should use dark to trigger the image generation.
You should use shadow to trigger the image generation.
You should use distorted to trigger the image generation.
You should use grainy to trigger the image generation.
You should use film grain to trigger the image generation.
You should use Victorian to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for mindlywork/ancientshadows
Base model
black-forest-labs/FLUX.1-dev