Instructions to use martintomov/ascii-flux-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martintomov/ascii-flux-v1 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("martintomov/ascii-flux-v1") prompt = "ASCII art, a tree in a peaceful meadow, with birds flying overhead" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ASCII Art v1
Flux LoRA, trained on ASCII art style
Trained for 3000 steps on NVIDIA RTX 4090 (24GB VRAM), Learning Rate 1e-4
Dataset made by @KodeurKubik, based on COCO2014 Dataset
Trigger words
You should use ascii art to trigger the image generation

- Prompt
- ASCII art, a tree in a peaceful meadow, with birds flying overhead

- Prompt
- ASCII art, a view of Earth from space, with stars and galaxies in the background

- Prompt
- ASCII art, a serene mountain landscape with a rising sun

- Prompt
- ASCII art, cats lounging in a hammock on a sunny day

- Prompt
- ASCII art, a person walking their dog through a quiet city street at night

- Prompt
- ASCII art, an Olympic runner sprinting on a track, crossing the finish line, with a stadium full of cheering fans

- Prompt
- ASCII art, a person reading a book by the window, rain falling outside

- Prompt
- ASCII art, a small boat on a calm lake, surrounded by trees

- Prompt
- ASCII art, a group of cats gathered around a fishbowl, staring intently
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Model tree for martintomov/ascii-flux-v1
Base model
black-forest-labs/FLUX.1-dev