Instructions to use nerijs/flux_prettyshot_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nerijs/flux_prettyshot_v1 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("nerijs/flux_prettyshot_v1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux_prettyshot_v1

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Model description
LoRa for FLUX1.-dev inspired by artistic photography
- No trigger required, but you can use it to increase the effect
- Use it at ~1.2 strength
- Lowering the guidance scale to 3 or 2.75 can help with the "plasticky" effect
Trigger words
You should use pr3ttysh0t 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 nerijs/flux_prettyshot_v1
Base model
black-forest-labs/FLUX.1-dev