Instructions to use defhouse/ksrksrv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use defhouse/ksrksrv2 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("defhouse/ksrksrv2") prompt = "A young man gets out of a car. He has a pink punk haircut and is surrounded by people trying to get his autograph." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ksrksrv2

- Prompt
- A young man gets out of a car. He has a pink punk haircut and is surrounded by people trying to get his autograph.
Trigger words
You should use ksrksrv2 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 defhouse/ksrksrv2
Base model
black-forest-labs/FLUX.1-dev