Instructions to use glif-loradex-trainer/lemnop_Acid_Grafix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/lemnop_Acid_Grafix 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/lemnop_Acid_Grafix") prompt = "Acid Grafix, smiley face" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Acid_Grafix
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user lemnop.

- Prompt
- Acid Grafix, smiley face

- Prompt
- Acid Grafix, globe

- Prompt
- Acid Grafix, girl

- Prompt
- Acid Grafix, album art

- Prompt
- Acid Grafix, skull

- Prompt
- Acid Grafix, graffiti
Trigger words
You should use Acid Grafix 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/lemnop_Acid_Grafix
Base model
black-forest-labs/FLUX.1-dev