Instructions to use diaskssq321/Madelaine_Petsch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diaskssq321/Madelaine_Petsch 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("diaskssq321/Madelaine_Petsch") prompt = "UNICODE\u0000\u0000(\u0000B\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000i\u0000m\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000o\u0000i\u0000l\u0000 \u0000p\u0000a\u0000i\u0000n\u0000t\u0000i\u0000n\u0000g\u0000)\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u00001\u00008\u00007\u00000\u0000s\u0000 \u0000i\u0000n\u0000 \u0000f\u0000r\u0000a\u0000n\u0000c\u0000e\u0000 \u0000d\u0000u\u0000r\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000f\u0000r\u0000e\u0000n\u0000c\u0000h\u0000 \u0000r\u0000e\u0000v\u0000o\u0000l\u0000u\u0000t\u0000i\u0000o\u0000n\u0000 \u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000t\u0000h\u0000r\u0000e\u0000e\u0000-\u0000p\u0000r\u0000o\u0000n\u0000g\u0000e\u0000d\u0000 \u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000p\u0000i\u0000t\u0000c\u0000h\u0000f\u0000o\u0000r\u0000k\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000e\u0000a\u0000d\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000r\u0000a\u0000b\u0000b\u0000l\u0000e\u0000 \u0000o\u0000f\u0000 \u0000s\u0000h\u0000o\u0000u\u0000t\u0000i\u0000n\u0000g\u0000 \u0000p\u0000e\u0000o\u0000p\u0000l\u0000e\u0000 \u0000t\u0000o\u0000 \u0000t\u0000h\u0000e\u0000 \u0000b\u0000a\u0000s\u0000t\u0000i\u0000l\u0000l\u0000e\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000f\u0000r\u0000e\u0000n\u0000c\u0000h\u0000 \u0000p\u0000e\u0000a\u0000s\u0000a\u0000n\u0000t\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000i\u0000n\u0000g\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u0000e\u0000a\u0000r\u0000l\u0000y\u0000 \u00001\u00009\u0000t\u0000h\u0000 \u0000c\u0000e\u0000n\u0000t\u0000u\u0000r\u0000y\u0000 \u0000a\u0000n\u0000d\u0000 \u0000h\u0000a\u0000s\u0000 \u0000a\u0000 \u0000d\u0000e\u0000t\u0000e\u0000r\u0000m\u0000i\u0000n\u0000e\u0000d\u0000 \u0000l\u0000o\u0000o\u0000k\u0000 \u0000o\u0000n\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000a\u0000c\u0000e\u0000.\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000M\u0000a\u0000d\u0000e\u0000l\u0000a\u0000i\u0000n\u0000e\u0000_\u0000P\u0000e\u0000t\u0000s\u0000c\u0000h\u0000_\u0000F\u0000L\u0000U\u0000X\u0000_\u0000l\u0000l\u0000a\u0000m\u0000a\u0000_\u0000c\u0000a\u0000p\u0000t\u0000i\u0000o\u0000n\u0000e\u0000d\u0000_\u0000v\u00002\u0000_\u0000m\u0000e\u0000r\u0000g\u0000e\u0000r\u0000_\u00001\u00006\u0000_\u00004\u00003\u0000_\u00006\u00001\u0000_\u00000\u00002\u0000_\u00000\u00003\u0000_\u00000\u00005\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Madelaine_Petsch

- Prompt
- UNICODE(Beautiful impressionistic oil painting) of a woman in the 1870s in france during the french revolution holding a three-pronged simple pitchfork and leading a rabble of shouting people to the bastille. She is clothed in french peasant clothing of the early 19th century and has a determined look on her face., <lora:Madelaine_Petsch_FLUX_llama_captioned_v2_merger_16_43_61_02_03_05:1>

- Prompt
- UNICODEInstagram photo of a woman with freckles on her face in the winter outdoors silhouette illumination of her hair. Taken with a ProPhoto iPhone camera., <lora:Madelaine_Petsch_FLUX_llama_captioned_v2_merger_16_43_61_02_03_05:1>
Trigger words
You should use Madelaine_Petsch to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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