Instructions to use mrTvister/sill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrTvister/sill 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("mrTvister/sill") prompt = "sr3fmj. A stylized illustration of a black and white mongrel dog wearing a festive happy birthday hat" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
A stylized illustration

- Prompt
- sr3fmj. A stylized illustration of a black and white mongrel dog wearing a festive happy birthday hat
Trigger words
You should use sr3fmj 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 mrTvister/sill
Base model
black-forest-labs/FLUX.1-dev