Instructions to use Saad381/Spectra-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saad381/Spectra-V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Saad381/Spectra-V1") prompt = "A cyberpunk car" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
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by Saad381 - opened
- README.md +6 -0
- images/example_hmfcurz4k.png +0 -0
README.md
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@@ -33,10 +33,16 @@ widget:
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- text: A character in cyberpunk style
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output:
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url: images/example_jdwvlgbdu.png
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datasets:
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- Saad381/SpectraDS
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language:
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- en
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---
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# SDXL LoRA DreamBooth - Saad381/Spectra-V1
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- text: A character in cyberpunk style
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output:
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url: images/example_jdwvlgbdu.png
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- text: >-
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handsome girl in a suit covered with bold tattoos and holding a pistol.
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Animatrix illustration style, fantasy style, natural photo cinematic,cartoon
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output:
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url: images/example_hmfcurz4k.png
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datasets:
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- Saad381/SpectraDS
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language:
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- en
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---
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# SDXL LoRA DreamBooth - Saad381/Spectra-V1
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images/example_hmfcurz4k.png
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