Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable diffusion
anime
comic book
illustration
Instructions to use EnD-Diffusers/HolidayAnimeMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/HolidayAnimeMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/HolidayAnimeMix", 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
Commit ·
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Parent(s): 5256c2e
Create README.md
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README.md
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---
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license: creativeml-openrail-m
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datasets:
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- fka/awesome-chatgpt-prompts
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- Nerfgun3/bad_prompt
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- EarthnDusk/Embeddings
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tags:
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- stable diffusion
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- anime
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- comic book
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- illustration
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language:
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- en
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metrics:
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- accuracy
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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Holiday Anime Mix
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---
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# Join us on our journey
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## Website: https://www.end-media.org
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## Discord: :https://discord.gg/5t2kYxt7An
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## Backups: https://huggingface.co/EarthnDusk
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## Send a Pizza: https://ko-fi.com/earthnicity / https://ko-fi.com/earthnicity
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## Reddit: https://www.reddit.com/r/earthndusk/
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# SPONSORED & ADVERTISING:
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## WE ARE PROUDLY SPONSORED BY: https://www.piratediffusion.com/ https://yodayo.com/
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We are excited to announce the upcoming release of new models! Stay tuned for more updates.
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Thank you for being a part of Earth & Dusk!
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