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
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Cillian_Murphy.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d4ea3200c14ec70aabf09f9b569bf2bfa20c1d60c6ce22ca7373a8108bf172f
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size 18210620
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images/close up photo of lora Cillian Murphy 1 1 man-1.jpeg
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Git LFS Details
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