Instructions to use EVA787797/4877877 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/4877877 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("EVA787797/4877877") prompt = "-" 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: '-'
output:
url: images/a9416306-5343-4ac8-972a-27cad91f3c99.jfif
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: bsl-1.0
new_version: black-forest-labs/FLUX.1-dev
lauira
- Prompt
- -
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.