Instructions to use TheWorstIsNot/marissa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheWorstIsNot/marissa 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("TheWorstIsNot/marissa") prompt = "<<lora:Marisa_Tomei_Flux:1> The image is a photograph of a young woman with a light olive skin tone and dark hair slightly messy updo. Her eyes are piercing, wearing a formfitting dress Standing in a cafe. looking a the viewer, smile" 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("TheWorstIsNot/marissa")
prompt = "<<lora:Marisa_Tomei_Flux:1> The image is a photograph of a young woman with a light olive skin tone and dark hair slightly messy updo. Her eyes are piercing, wearing a formfitting dress Standing in a cafe. looking a the viewer, smile"
image = pipe(prompt).images[0]marissa

- Prompt
- <<lora:Marisa_Tomei_Flux:1> The image is a photograph of a young woman with a light olive skin tone and dark hair slightly messy updo. Her eyes are piercing, wearing a formfitting dress Standing in a cafe. looking a the viewer, smile
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for TheWorstIsNot/marissa
Base model
black-forest-labs/FLUX.1-dev