Instructions to use D33pStateTech/d33pstateLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use D33pStateTech/d33pstateLora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("D33pStateTech/d33pstateLora") prompt = "asian ten" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
d33pstatelora

- Prompt
- asian ten

- Prompt
- asian ten
.jpg)
- Prompt
- asian ten
.jpg)
- Prompt
- asian ten
.jpg)
- Prompt
- asian ten
Model description
a character lora based off one model
Trigger words
You should use asian ten to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for D33pStateTech/d33pstateLora
Base model
black-forest-labs/FLUX.1-dev