Instructions to use Muapi/flat-lined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flat-lined 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("Muapi/flat-lined") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 131 Bytes
6ba9382 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1ea6327b5197f7d2bf7cfafd469104dc7c5a9c0e7d3cce3e53d5dcd6c87571d8
size 191088
|