Instructions to use Fragiskos/Cinder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fragiskos/Cinder 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/Cinder") 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/c05a5d77add9311e0c9d76e08f8cc6b9.jpg
text: '-'
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: apache-2.0
Cinder

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