Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
ocean
realistic
background
sea
garbage
post-apocalyptic
partially submerged
rubbish
save the earth
marine pollution
Instructions to use Keltezaa/garbage-patch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/garbage-patch 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("Keltezaa/garbage-patch") prompt = "garbage patch, realistic, blue eyes, blonde hair, smile, 1girl, a pretty woman, slim figure, facial features, thick lips, absurdly long hair, floating hair, nude, naked, nipples, areola, large breasts, wind, ocean, backwash, post-apocalypse, partially submerged in water, wading, wet, trash, rubbish, night, moon, from behind, looking back, photoflash, photorealistic, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee