Instructions to use Yntec/majicmixLux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/majicmixLux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/majicmixLux", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Majic Mix Lux
Original page: https://civitai.com/models/56967?modelVersionId=61379
Samples and prompts:
(Click for larger)
Top left: close up pretty cute little girl ballerina from the nutcracker dancing in a magical fantasy winter. ocean
Top right: a Cooking of a beautiful young cute girl
Bottom left: (digital painting:1.3), cartoon, trending on artstation, close up of pretty cute Swedish girl, centered, (messy bun), beautiful brown eyes, pale skin, behind mountains, snow, (high detailed skin:1.2), film grain, Fujifilm XT3, (high detailed face:1.3)
Bottom right: digital painting, anime, trending on artstation close up of pretty cute asian girl, tattoos, centered, (messy bun), brown eyes, pale skin, behind trees, (high detailed skin:1.2), beach, Fujifilm XT3, (high detailed face:1.3)
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