Instructions to use akos2/Migration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akos2/Migration 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("akos2/Migration") 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/shannonlora_flux_civitai_v2_midjourney_whisper___a_moody_black_and_white_vogue_cover_fashion_photograph_of_pretty_top_model___she_is_wearing_a__couture_elegant_gown_with_a_deep_slit_and_2735064710.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: '[cloth-on]'
license: apache-2.0
Migration

- Prompt
- -
Model description
Test 4
Trigger words
You should use [cloth-on] to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.