Text-to-Image
Diffusers
Safetensors
English
lora
t2i
photorealistic
woman
celebrity
likeness
MOSS
MOSS-Image
MOSS-Image-Base
MOSS-Image-SFT
Instructions to use pmczip/MOSS_Image_LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pmczip/MOSS_Image_LoRAs 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("pmczip/MOSS_Image_LoRAs") prompt = "a high-resolution photograph featuring 4j133, standing in a dimly lit room with a neutral expression looking past the camera, she has long, dark brown hair tied back in a loose ponytail, and her brown eyes are framed by thick, dark eyelashes, her lips are slightly parted, she wears a black coat over a dark purple, sleeveless top with a v-neckline, and a matching, high-waisted skirt with a floral pattern in shades of purple and gold, she accessorizes with a black choker with a small, silver cross pendant, the background consists of a wall with a textured, black and white marble pattern, adding a sense of elegance and sophistication to the scene, the lighting is soft and diffused, creating a warm and intimate atmosphere, the overall mood of the photograph is somber and introspective, with a focus on the subject's youthful and contemplative demeanor, cinematic shot, photos taken by Nikon, Kodachrome film, professional lighting, photography lighting, 35mm lens, lightroom gallery --q 2 --v 4 --upbeta" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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