Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

dididaonea
/
train_sd21

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use dididaonea/train_sd21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dididaonea/train_sd21 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dididaonea/train_sd21", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a photo of sks dog"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
train_sd21 / tokenizer
1.59 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dididaonea's picture
dididaonea
End of training
83baf3f verified 10 months ago
  • merges.txt
    525 kB
    End of training 10 months ago
  • special_tokens_map.json
    460 Bytes
    End of training 10 months ago
  • tokenizer_config.json
    886 Bytes
    End of training 10 months ago
  • vocab.json
    1.06 MB
    End of training 10 months ago