Instructions to use Danrisi/Lenovo_ChromaRadiance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danrisi/Lenovo_ChromaRadiance with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma1-Radiance", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Danrisi/Lenovo_ChromaRadiance") prompt = "Low-quality smartphone photo, shaky amateur shot captured from the passenger seat of a moving parallel vehicle through side window. High-speed motion blur background. In the adjacent lane, a bright blue Dodge Charger is speeding parallel to the camera, blue underglow faint in the daylight.young latina girl 20 years old, with long dark hair, sits calmly in a lotus pose on the roof of the moving dodge charger, wearing lavender and silver leggings. Foreground shows the blurry frame of the photographer's car window and faint reflections of a dashboard. Sun glare, digital noise, rolling shutter effect, grainy texture, candid street photography aesthetic, highway setting." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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license: apache-2.0
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license: apache-2.0
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language:
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- en
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base_model:
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- lodestones/Chroma1-Radiance
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pipeline_tag: text-to-image
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tags:
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- chroma
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- realistic
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- lora
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