Instructions to use Gemneye/MaileAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/MaileAnime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Gemneye/MaileAnime") prompt = "MaileAnime, a young woman with braided dark hair walks through a quiet alley lined with paper lanterns at dusk." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 606 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/sample.jpg
text: >-
MaileAnime, a young woman with braided dark hair walks through a quiet alley
lined with paper lanterns at dusk.
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: MaileAnime
license: apache-2.0
---
# MaileAnime
<Gallery />
## Model description
Trained on Flux.1-dev with AI Toolkit
## Trigger words
You should use `MaileAnime` to trigger the image generation.
## Download model
[Download](/Gemneye/MaileAnime/tree/main) them in the Files & versions tab.
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