Instructions to use glif-loradex-trainer/shipley_flux_dev_AlicesAdventuresInWonderland with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/shipley_flux_dev_AlicesAdventuresInWonderland 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("glif-loradex-trainer/shipley_flux_dev_AlicesAdventuresInWonderland") prompt = "a dog chasing a rabbit through a field of strange flowers AAIW, wonderlandstyle" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
flux_dev_AlicesAdventuresInWonderland
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user shipley.

- Prompt
- a dog chasing a rabbit through a field of strange flowers AAIW, wonderlandstyle

- Prompt
- a bear in pajamas sitting at a table AAIW, wonderlandstyle

- Prompt
- A girl pondering life on a mushroom in a large forest AAIW, wonderlandstyle
Trigger words
You should use AAIW, wonderlandstyle to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/shipley_flux_dev_AlicesAdventuresInWonderland
Base model
black-forest-labs/FLUX.1-dev