Instructions to use ChandrilBasu/cm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/cm 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("ChandrilBasu/cm") prompt = "close-up photo of <lora:Cillian_Murphy:1.1> man, (((modest outfit))), (((modesty))), (((modest clothes))), (((modest apparel))), (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered. Detailed, intimate, clear, personal" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K