Instructions to use ManyWayne/DOLL-by-MANY-WAYNE-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/DOLL-by-MANY-WAYNE-SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ManyWayne/DOLL-by-MANY-WAYNE-SDXL") prompt = "The image is a close-up portrait of a young woman with [BLONDE] hair. Her eyes are the focal point: large almond-shaped with vibrant amber irises, smooth and textureless. The pupils are deep black with a subtle glossy glass effect, seamlessly blended with a dark gradient, giving a sense of depth and intensity. She is wearing a [GOLD] necklace with a chain around her neck. Her eyes are closed and her mouth is slightly open, as if she is deep in thought. Her hair is styled in loose waves and falls over her shoulders. The background is a [PINK]. The overall mood of the image is somber and contemplative." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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