Instructions to use dd999361/DC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dd999361/DC with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dd999361/DC") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DC

- Prompt
- -
Model description
DC
Trigger words
You should use NA to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for dd999361/DC
Base model
stabilityai/stable-diffusion-3.5-large