Instructions to use Muapi/bread with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/bread 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/bread") 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 bread.safetensors from Muapi/bread: direct link, hf CLI and curl.
- Browser
- Download file 19.3 MB
-
https://huggingface.co/Muapi/bread/resolve/main/bread.safetensors
- Command line
-
hf download hf://Muapi/bread/bread.safetensors
-
curl -L -o bread.safetensors https://huggingface.co/Muapi/bread/resolve/main/bread.safetensors
19.3 MB
- Xet hash:
- 72e9edaef9cc7ec712e8fabeb0d3d9761040523c578bea687f950179182b174e
- Size of remote file:
- 19.3 MB
- SHA256:
- b66487cf28a3cbb0512bf0b2f3e0b90e9079a005f3edc1cccff1c3043308cee2
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