Text-to-Image
Diffusers
flux
flux-diffusers
simpletuner
safe-for-work
lora
template:sd-lora
standard
Instructions to use hg-ai-team/string with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hg-ai-team/string with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flux/unknown-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hg-ai-team/string") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Model card auto-generated by SimpleTuner
Browse files
README.md
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@@ -104,7 +104,7 @@ You may reuse the base model text encoder for inference.
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### autotrain-768
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- Repeats: 4
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- Total number of images: 6
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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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### autotrain-768
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- Repeats: 4
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- Total number of images: 6
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- Total number of aspect buckets: 4
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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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