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
Download flat-lined.safetensors from Muapi/flat-lined: direct link, hf CLI and curl.
- Browser
- Download file 613 MB
-
https://huggingface.co/Muapi/flat-lined/resolve/main/flat-lined.safetensors
- Command line
-
hf download hf://Muapi/flat-lined/flat-lined.safetensors
-
curl -L -o flat-lined.safetensors https://huggingface.co/Muapi/flat-lined/resolve/main/flat-lined.safetensors
613 MB
- Xet hash:
- 8ae36926a7fc5802c41e42a6d0bce910be21866e7b8b0433f1649eec881ff57a
- Size of remote file:
- 613 MB
- SHA256:
- 251ec6d6501b764ac304b270c2c145b69819df14b38ba7d265ed132dd2e07017
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