Instructions to use Fragiskos/Morro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fragiskos/Morro 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("Fragiskos/Morro") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/306c85e040ad070450c1d8c55a84bd99.jpg
text: '-'
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: apache-2.0
Morro

- Prompt
- -
Model description
Morro ready to sing
Download model
Download them in the Files & versions tab.