Instructions to use Omnico/Chroma1_diff_loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Omnico/Chroma1_diff_loras 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-Base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Omnico/Chroma1_diff_loras") prompt = "real photo, amateur photo, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- images
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- 897 MB xet
- 1.79 GB xet
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- 448 MB xet
- 23.9 kB
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet
- 897 MB xet
- 1.79 GB xet
- 2.69 GB xet
- 448 MB xet