Instructions to use henzo676/davi._.mc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use henzo676/davi._.mc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/Mage-Flow", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("henzo676/davi._.mc") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("microsoft/Mage-Flow", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("henzo676/davi._.mc")
prompt = "-"
image = pipe(prompt).images[0]davi

- Prompt
- -
Model description
sei la
Trigger words
You should use mc davi to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for henzo676/davi._.mc
Base model
microsoft/Mage-Flow