Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
image-to-image
aiart
anime
Instructions to use TheRafal/everything-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheRafal/everything-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("TheRafal/everything-v1", 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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license: creativeml-openrail-m
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language:
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- en
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pipeline_tag: text-to-image
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tags:
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- stable-diffusion
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- diffusers
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- aiart
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- anime
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<center><img src="https://huggingface.co/TheRafal/everything-v1/resolve/main/img/1.png" width="512" height="512"/></center>
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license: creativeml-openrail-m
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language:
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- en
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https://huggingface.co/TheRafal/everything-v1/resolve/main/img/thumbnail.png
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pipeline_tag: text-to-image
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tags:
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- stable-diffusion
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- diffusers
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- aiart
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- anime
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<center><img src="https://huggingface.co/TheRafal/everything-v1/resolve/main/img/1.png" width="512" height="512"/></center>
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