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SG161222
/
Realistic_Vision_V1.4

Text-to-Image
Diffusers
stable-diffusion
Model card Files Files and versions
xet
Community
11

Instructions to use SG161222/Realistic_Vision_V1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SG161222/Realistic_Vision_V1.4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V1.4", 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Negative prompts

1
#10 opened over 2 years ago by
J450NP13

Add Diffusers weights

#9 opened almost 3 years ago by
Pashy

How to set optional parameters? How to set the size of an image?

👍 1
1
#8 opened almost 3 years ago by
blansj

34 Stable Diffusion tutorials - Including realistic vision based tutorials as well

#7 opened almost 3 years ago by
MonsterMMORPG

What is the difference between this and 2.0?

👍 4
#6 opened almost 3 years ago by
boluosea

Model Training

#5 opened about 3 years ago by
Elio91

Rename README.md to 1111.ipynb

#4 opened about 3 years ago by
DxRaz

Error Runtimeerror: expected all tensors to be on the same device

#2 opened about 3 years ago by
olivierchen1015

How can you train the inpainting model ?

1
#1 opened about 3 years ago by
juncfang
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