Instructions to use Emycragoe/threadbare_mehf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Emycragoe/threadbare_mehf 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Emycragoe/threadbare_mehf") prompt = "Image of a women's face, front side on" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
threadbare_mehf

- Prompt
- Image of a women's face, front side on
Model description
model made of images of me
Download model
Weights for this model are available in Safetensors,PyTorch format.
Download them in the Files & versions tab.
- Downloads last month
- -
Model tree for Emycragoe/threadbare_mehf
Base model
black-forest-labs/FLUX.1-dev