Instructions to use CabalResearch/NoobAI-RectifiedFlow-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CabalResearch/NoobAI-RectifiedFlow-Experimental with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CabalResearch/NoobAI-RectifiedFlow-Experimental", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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base_model:
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- Bluvoll/Experimental_EQ-VAE_NoobAI_tests
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- Laxhar/noobai-XL-Vpred-1.0
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license: other
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license_name: fair-ai-public-license-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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base_model:
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- Bluvoll/Experimental_EQ-VAE_NoobAI_tests
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- Laxhar/noobai-XL-Vpred-1.0
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