Instructions to use fatique/polybotsv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fatique/polybotsv2 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("fatique/polybotsv2") prompt = "medabots, purple and black, with cannon armor, white background" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
PolybotsV2

- Prompt
- medabots, purple and black, with cannon armor, white background
- Negative Prompt
- ng_deepnegative_v1_75t,(badhandv4:1.2),EasyNegative,(worst quality:2),,nsfw
Model description
PolybotsV2
Trigger words
You should use medabots 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 fatique/polybotsv2
Base model
black-forest-labs/FLUX.1-dev