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coreco
/
seek.art_MEGA

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community
10

Instructions to use coreco/seek.art_MEGA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use coreco/seek.art_MEGA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("coreco/seek.art_MEGA", 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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Resources
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  • Code of Conduct
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Adding `safetensors` variant of this model

#10 opened almost 2 years ago by
SFconvertbot

Non-password protected notes

👍 4
#8 opened about 3 years ago by
SunilWu

Add `scale_factor` to vae config.

#7 opened over 3 years ago by
valhalla

Hardware for training this model

#6 opened over 3 years ago by
gameveloster

Adding `safetensors` variant of this model

#5 opened over 3 years ago by
abruptlyaverage

Does anyone know what is k_dpmpp_2 in Automatic1111?

2
#4 opened over 3 years ago by
aimer-yui

Images from the model and from the seek.art website are different

1
#2 opened over 3 years ago by
duuuuuuuden

add gradio demo

2
#1 opened over 3 years ago by
akhaliq
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