Instructions to use prithivMLmods/Flux-Golden-Coin-Design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux-Golden-Coin-Design 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("prithivMLmods/Flux-Golden-Coin-Design") prompt = "Golden Coin, Captured from a low-angle perspective on a vibrant purple backdrop, a glowing yellow circle with a white dollar sign in the center of the circle. The dollar sign is adorned with a bright yellow hue, adding a pop of color to the scene. The shadow of the dollar sign casts a shadow on the purple background, adding depth to the image." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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Total Images Used for Training : 13
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## Best Dimensions
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## Setting Up
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```python
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Total Images Used for Training : 13
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## Best Dimensions & Inference
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| **Dimensions** | **Aspect Ratio** | **Recommendation** |
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| 1280 x 832 | 3:2 | Best |
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| 1024 x 1024 | 1:1 | Default |
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### Inference Range
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- **Recommended Inference Steps:** 30–35
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## Setting Up
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```python
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