Text-to-Image
Diffusers
Safetensors
English
sdxl
stable diffusion
anime
earth and dusk
duskfallcrew
sdxl-anikme
sdxl anime
Instructions to use MLbackup/2023_Scraped_SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/2023_Scraped_SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MLbackup/2023_Scraped_SDXL", 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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datasets:
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- EarthnDusk/Embeddings
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pipeline_tag: text-to-image
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---
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# EARTH & DUSK SDXL STASH
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## REFERRAL LINKS
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[Runpod](https://runpod.io/?ref=yx1lcptf)
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[VastAI](https://cloud.vast.ai/?ref=70354)
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datasets:
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- EarthnDusk/Embeddings
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pipeline_tag: text-to-image
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base_model:
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- stabilityai/stable-diffusion-xl-base-1.0
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library_name: diffusers
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---
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# EARTH & DUSK SDXL STASH
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## REFERRAL LINKS
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[Runpod](https://runpod.io/?ref=yx1lcptf)
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[VastAI](https://cloud.vast.ai/?ref=70354)
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