Instructions to use Matb09/emak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matb09/emak 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("Matb09/emak") prompt = "photo of an emak chainsaw" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: photo of an emak chainsaw
output:
url: images/EMAK_rendering motosega (3)_Beauty_21.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: chainsaw
license: apache-2.0
emak
_Beauty_21.png)
- Prompt
- photo of an emak chainsaw
Trigger words
You should use chainsaw to trigger the image generation.
Download model
Weights for this model are available in PyTorch,Safetensors format.
Download them in the Files & versions tab.