Instructions to use davidrd123/MarcoBackground-SimpleTrigger-Dev2Pro-QuarterEighthCrops-Flux-LoKr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davidrd123/MarcoBackground-SimpleTrigger-Dev2Pro-QuarterEighthCrops-Flux-LoKr 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("davidrd123/MarcoBackground-SimpleTrigger-Dev2Pro-QuarterEighthCrops-Flux-LoKr") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Model card auto-generated by SimpleTuner
Browse files
README.md
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## Training settings
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- Training epochs:
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- Training steps:
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- Learning rate: 8e-05
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- Learning rate schedule: constant
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- Warmup steps: 100
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### marco-background-768
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- Repeats: 22
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- Total number of images: 34
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- Total number of aspect buckets:
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- Resolution: 0.589824 megapixels
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- Cropped: False
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- Crop style: None
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### marco-background-1536
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- Repeats: 5
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- Total number of images: 34
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- Total number of aspect buckets:
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- Resolution: 2.359296 megapixels
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- Cropped: False
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- Crop style: None
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## Training settings
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- Training epochs: 6
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- Training steps: 8750
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- Learning rate: 8e-05
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- Learning rate schedule: constant
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- Warmup steps: 100
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### marco-background-768
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- Repeats: 22
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- Total number of images: 34
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- Total number of aspect buckets: 1
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- Resolution: 0.589824 megapixels
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- Cropped: False
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- Crop style: None
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### marco-background-1536
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- Repeats: 5
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- Total number of images: 34
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- Total number of aspect buckets: 4
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- Resolution: 2.359296 megapixels
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- Cropped: False
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- Crop style: None
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