Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
art
Not-For-All-Audiences
Instructions to use Runware/NoobAI-XL-VPred-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/NoobAI-XL-VPred-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/NoobAI-XL-VPred-1.0", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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<h1 align="center"><strong style="font-size: 48px;">NoobAI XL V-Pred 1.0</strong></h1>
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# Model Introduction
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This image generation model, based on Laxhar/noobai-XL_v1.0, leverages full Danbooru and e621 datasets with native tags and natural language captioning.
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<h1 align="center"><strong style="font-size: 48px;">NoobAI XL V-Pred 1.0</strong></h1>
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# Repository information from Runware
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This model repository is uploaded with a fixed scheduler config so that inference can be seamlessly executed without special arguments.
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NoobAI's v_prediction model is a separate model from [Terminus XL](https://huggingface.co/collections/bghira/terminus-xl-65451893a156b3b1d1456514), another recommended model series to try if you like Illustrious and NoobAI.
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# Model Introduction
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This image generation model, based on Laxhar/noobai-XL_v1.0, leverages full Danbooru and e621 datasets with native tags and natural language captioning.
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