Instructions to use EzFlow/mariah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EzFlow/mariah 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("EzFlow/mariah") prompt = "mariah" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from EzFlow/mariah: direct link, hf CLI and curl.
- Browser
- Download file 788 Bytes
-
https://huggingface.co/EzFlow/mariah/resolve/main/README.md
- Command line
-
hf download hf://EzFlow/mariah/README.md
-
curl -L -o README.md https://huggingface.co/EzFlow/mariah/resolve/main/README.md
788 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: mariah
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
mariah
Model description
a beautiful mixed-race woman who is black & Arabian. skin color is bright, long hair
Trigger words
You should use mariah to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.