Text-to-Image
Diffusers
flux2
flux2-diffusers
image-to-image
lora
standard
macos
liquid-glass
icon-generation
apple-design
Instructions to use Andy-ML-And-AI/LIQGLASS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Andy-ML-And-AI/LIQGLASS 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.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Andy-ML-And-AI/LIQGLASS") prompt = "LIQGLASS, macOS Liquid Glass style icon, translucent frosted glass squircle shape, Safari browser app, compass symbol, blue tinted glass, specular highlight, inner glow, light refraction at edges, depth layering, soft shadow, Apple macOS design language, high detail" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Trained for 1 epochs and 800 steps.
Browse filesTrained with datasets ['text-embed-cache', 'liqglass-dataset']
Learning rate 0.0001, batch size 1, and 1 gradient accumulation steps.
Trained with None prediction type and rescaled_betas_zero_snr=False
Using 'trailing' timestep spacing.
Base model: black-forest-labs/FLUX.2-klein-base-4B
VAE: black-forest-labs/FLUX.2-klein-base-4B
pytorch_lora_weights.safetensors
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