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
Upload 12 files
Browse files- chromaCoolMerge3_r128.safetensors +3 -0
- chromaCoolMerge3_r256.safetensors +3 -0
- chromaCoolMerge3_r384.safetensors +3 -0
- chromaCoolMerge3_r64.safetensors +3 -0
- chromaSam_turboV10_r128.safetensors +3 -0
- chromaSam_turboV10_r256.safetensors +3 -0
- chromaSam_turboV10_r384.safetensors +3 -0
- chromaSam_turboV10_r64.safetensors +3 -0
- uncannyPhotorealism_chroma_v13_r128.safetensors +3 -0
- uncannyPhotorealism_chroma_v13_r256.safetensors +3 -0
- uncannyPhotorealism_chroma_v13_r384.safetensors +3 -0
- uncannyPhotorealism_chroma_v13_r64.safetensors +3 -0
chromaCoolMerge3_r128.safetensors
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