Instructions to use SpiderSteeped/mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SpiderSteeped/mirror 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("SpiderSteeped/mirror") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from SpiderSteeped/mirror: direct link, hf CLI and curl.
- Browser
- Download file 880 Bytes
-
https://huggingface.co/SpiderSteeped/mirror/resolve/main/README.md
- Command line
-
hf download hf://SpiderSteeped/mirror/README.md
-
curl -L -o README.md https://huggingface.co/SpiderSteeped/mirror/resolve/main/README.md
880 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/df0r498-ab1241d4-95c0-43c7-9183-86d176c2db42.png
text: '-'
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: >-
Mirror selfie, holding cellphone, Dirty mirror, Messy room, Cluttered counter,
Ass on countertop
mirror

- Prompt
- -
Trigger words
You should use Mirror selfie to trigger the image generation.
You should use holding cellphone to trigger the image generation.
You should use Dirty mirror to trigger the image generation.
You should use Messy room to trigger the image generation.
You should use Cluttered counter to trigger the image generation.
You should use Ass on countertop to trigger the image generation.
Download model
Download them in the Files & versions tab.