Instructions to use Jonjew/ClothesOnOff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ClothesOnOff 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("Jonjew/ClothesOnOff") prompt = "side-by-side clothed and nude photos of a woman wearing a leopard print top and a frizzy yellow skirt, hoop earrings, standing outdoors, arms crossed, desert, cactus, ginger hair, blunt bangs <lora:OnOffFlux4-9:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("Jonjew/ClothesOnOff")
prompt = "side-by-side clothed and nude photos of a woman wearing a leopard print top and a frizzy yellow skirt, hoop earrings, standing outdoors, arms crossed, desert, cactus, ginger hair, blunt bangs <lora:OnOffFlux4-9:1>"
image = pipe(prompt).images[0]Not-For-All-Audiences
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