Instructions to use Forostris/mia_sloane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Forostris/mia_sloane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abenzerps/Qwen-Image-2.1-Uncensored-GGUF", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Forostris/mia_sloane") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
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Model tree for Forostris/mia_sloane
Base model
Qwen/Qwen-Image-2.1 Quantized
abenzerps/Qwen-Image-2.1-Uncensored-GGUF