Instructions to use Keltezaa/Alice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Alice 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("Keltezaa/Alice") prompt = "Alice" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Keltezaa/Alice: direct link, hf CLI and curl.
- Browser
- Download file 444 Bytes
-
https://huggingface.co/Keltezaa/Alice/resolve/main/README.md
- Command line
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hf download hf://Keltezaa/Alice/README.md
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curl -L -o README.md https://huggingface.co/Keltezaa/Alice/resolve/main/README.md
444 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Alice
license: cc-by-nc-nd-4.0
Alice
Model description
Alice
Trigger words
You should use Alice to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.