Instructions to use mikkoph/mikkoph-moss-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mikkoph/mikkoph-moss-image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-Base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mikkoph/mikkoph-moss-image") prompt = "@mikkoph. A high-fashion, low-angle portrait of a stunningly beautiful young woman, embodying a mood of surreal, haunting dominance and stark color contrast. She is positioned centrally, looking down at the camera with an intense, seductive, and slightly vacant gaze that captures the uncanny feeling of the source image. Her face is porcelain-pale with sharp, high-fashion features. Her makeup is striking and graphic: one side of her face features a bold, saturated crimson red block of matte lipstick and heavy eyeshadow that extends towards the temple, while the other side is pristine and natural. She has dramatic, thin black eyeliner and long, architectural lashes. Her hair is a sleek, jet-black bob with sharp, blunt-cut bangs, styled with a wet-look finish. She is dressed in a fashion white button-down shirt made of a stiff, high-fashion fabric, paired with high-waisted charcoal grey trousers secured by a thick, industrial belt. A singular, shocking crimson red necktie hangs loosely, creating a sharp focal point. She wears large, thin-framed circular glasses. One hand is visible, with long, square-shaped nails painted in a high-gloss, blood-red finish. The lighting is harsh and dramatic, creating deep shadows and highlighting the flat, painterly texture of her skin. The background is a hazy, atmospheric grey. The overall mood is powerful, eerie, and intensely fashionable, blending 2025 avant-garde aesthetics with a surreal, cinematic atmosphere." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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