Instructions to use MarkBW/mimo-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/mimo-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarkBW/mimo-xl") prompt = "mimo <lora:mimo-XL:1>, ,a woman wearing tunic top and jeggings, greenhouse, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
mimo-xl

- Prompt
- mimo <lora:mimo-XL:1>, ,a woman wearing tunic top and jeggings, greenhouse,
- Negative Prompt
- Bad quality, black and white, 3d,
Model description
Creates the likeness of Korean twitch streamer and instagram model Mimo.
Trigger words
You should use mimo to trigger the image generation.
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 MarkBW/mimo-xl
Base model
stabilityai/stable-diffusion-xl-base-1.0