Instructions to use Muapi/lines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/lines 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/lines") 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 lines.safetensors from Muapi/lines: direct link, hf CLI and curl.
- Browser
- Download file 19.3 MB
-
https://huggingface.co/Muapi/lines/resolve/main/lines.safetensors
- Command line
-
hf download hf://Muapi/lines/lines.safetensors
-
curl -L -o lines.safetensors https://huggingface.co/Muapi/lines/resolve/main/lines.safetensors
19.3 MB
- Xet hash:
- 84e934b5d9a361cf3f5ab8de50664640060ec34621d27ada66c905a6519475ea
- Size of remote file:
- 19.3 MB
- SHA256:
- 7d40e5c9d5e5fb40b43d2fcc6ec2e1eabec735ddacec22f9adfe128d4141af6f
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