Instructions to use strangerzonehf/Blaze.1-Portrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Blaze.1-Portrait with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("prithivMLmods/Flux.1-Merged", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("strangerzonehf/Blaze.1-Portrait") prompt = "b1 portrait, Captured at eye-level, a close-up shot captures a young man with curly black hair, wearing a red and navy blue jacket with a white stripe down the front. His jacket is adorned with a black collar and a white logo with a blue letter \"F\" in the center. Behind him, a young woman in a navy blue and red tank top, also wearing a white hat, is seated on the beach. The background is a sandy beach, with a clear blue sky dotted with white fluffy clouds." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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| LR Scheduler | constant | Noise Offset | 0.03 |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 |
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| Network Dim | 64 | Multires Noise Iterations | 10 |
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| Network Alpha | 32 | **Repeat & Steps** | **<span style="color:orangered">30</span> & <span style="color:orangered">38,000</span>** |
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| LR Scheduler | constant | Noise Offset | 0.03 |
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| Network Alpha | 32 | **Repeat & Steps** | **<span style="color:orangered">30</span> <span style="color:orangered">&</span> <span style="color:orangered">38,000</span>** |
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