Instructions to use SG161222/RealVisXL_V2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/RealVisXL_V2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V2.0", 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
Commit ·
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Parent(s): 5c3f680
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README.md
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license: openrail++
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---
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<b>It's important! Read it!</b><br>
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The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.<br>
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license: openrail++
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datasets:
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- vikp/textbook_quality_programming
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language:
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- id
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metrics:
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- character
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library_name: allennlp
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pipeline_tag: text-to-image
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---
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<b>It's important! Read it!</b><br>
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The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.<br>
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