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Instructions to use TheRafal/everything-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheRafal/everything-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRafal/everything-v2", 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
- Draw Things
- DiffusionBee
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# Everything V2
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This repo contains the Everything V2 model weights. The model was
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[Full description](https://huggingface.co/TheRafal/everything)
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# Everything V2
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This repo contains the Everything V2 model weights. The model was trained on SD2.1. The current version one is partly a test. It wasn't merge with other models after teaching.
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[Full description](https://huggingface.co/TheRafal/everything)
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