Instructions to use boisterous/apple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use boisterous/apple 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("boisterous/apple") prompt = "APPLE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update config.yaml
Browse files- config.yaml +1 -1
config.yaml
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@@ -49,7 +49,7 @@ config:
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sample_every: 1001
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width: 1024
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height: 1024
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prompts: []
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neg: ''
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seed: 42
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walk_seed: true
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sample_every: 1001
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width: 1024
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height: 1024
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prompts: ["an APPLE"]
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neg: ''
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seed: 42
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walk_seed: true
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