Instructions to use Muapi/flux-pro-1.1-style-lora-extreme-detailer-for-flux-illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-pro-1.1-style-lora-extreme-detailer-for-flux-illustrious 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/flux-pro-1.1-style-lora-extreme-detailer-for-flux-illustrious") 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
flux-pro-1.1-style-lora-extreme-detailer-for-flux-illustrious / flux-pro-1.1-style-lora-extreme-detailer-for-flux-illustrious.safetensors
- Xet hash:
- cdaa73b6177909a383c9a11eaefcb46e4bf084a104f7249a2b309ae9aaba385c
- Size of remote file:
- 76.7 MB
- SHA256:
- 3f3e39bb45b2487352b63aef0dc1bc3c67e11d0c77293742027d75ebf95becfe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.