Instructions to use Abhilashvj/marshal-speakers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abhilashvj/marshal-speakers 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Abhilashvj/marshal-speakers") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Abhilashvj/marshal-speakers")
prompt = "-"
image = pipe(prompt).images[0]marshall-lora.safetensors

- Prompt
- -

- Prompt
- -
Model description
This is a FLUX Lora on a marshal speaker, this can be sued with prompts like this mshl on the floor of a night party
Trigger words
You should use mshl to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 7
Model tree for Abhilashvj/marshal-speakers
Base model
black-forest-labs/FLUX.1-schnell