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nitrosocke
/
redshift-diffusion-768

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
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xet
Community
13

Instructions to use nitrosocke/redshift-diffusion-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nitrosocke/redshift-diffusion-768 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nitrosocke/redshift-diffusion-768", 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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  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#13 opened 10 months ago by
SFconvertbot

Add `scale_factor` to vae config.

#12 opened over 3 years ago by
valhalla

Will the new version ever come out on Replicate?

1
#11 opened over 3 years ago by
Cavatappi

Training method used for training sd2 model to make this model and related model on your hub

1
#10 opened over 3 years ago by
Ambesh

This is a miracle

6
#9 opened over 3 years ago by
ju-popov

How did you successfully train and use this model?

#7 opened over 3 years ago by
adamgman

About redshift Model Training

#3 opened over 3 years ago by
AxonAxis
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