Instructions to use deno58/Denov.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deno58/Denov.1 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("deno58/Denov.1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Denov.1

- Prompt
- -
Model description
Hey whats upp
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Model tree for deno58/Denov.1
Base model
Qwen/Qwen-Image-2.1 Quantized
abenzerps/Qwen-Image-2.1-Uncensored-GGUF