Instructions to use janannfndnd/SABA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use janannfndnd/SABA 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("janannfndnd/SABA") prompt = "SABA" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update config.yaml
Browse files- config.yaml +1 -1
config.yaml
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@@ -40,7 +40,7 @@ config:
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ema_decay: 0.99
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dtype: bf16
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model:
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name_or_path: FLUX.1-schnell
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is_flux: true
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quantize: true
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sample:
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ema_decay: 0.99
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dtype: bf16
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model:
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name_or_path: "FLUX.1-schnell"
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is_flux: true
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quantize: true
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sample:
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