Instructions to use Virtix-mixt/MarkDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Virtix-mixt/MarkDE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Virtix-mixt/MarkDE") prompt = "Salut " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
MarkDEV
.png)
- Prompt
- Salut
- Negative Prompt
- Dégage
Model description
Trigger words
You should use Salut to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 4
