Instructions to use den123/squidgame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use den123/squidgame 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("den123/squidgame") prompt = "Angelina Jolie wearing green tracksuit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
squidgame

- Prompt
- Angelina Jolie wearing green tracksuit

- Prompt
- TAylor Swift wearing green tracksuit, number"69"

- Prompt
- Marilyn Monroe wearing green tracksuit, number"777"
Trigger words
You should use squidgame 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 den123/squidgame
Base model
black-forest-labs/FLUX.1-dev