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Jimbro
/
pokemon_fusion_outputs_2

Diffusers
TensorBoard
DDPMPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Jimbro/pokemon_fusion_outputs_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Jimbro/pokemon_fusion_outputs_2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Jimbro/pokemon_fusion_outputs_2", 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
pokemon_fusion_outputs_2
920 MB
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  • 1 contributor
History: 19 commits
Jimbro's picture
Jimbro
Upload scheduler_config.json
3ed7989 about 3 years ago
  • logs
    Epoch 74 about 3 years ago
  • samples
    Epoch 74 about 3 years ago
  • scheduler
    Epoch 4 about 3 years ago
  • unet
    Epoch 74 about 3 years ago
  • .gitattributes
    2.27 kB
    Epoch 74 about 3 years ago
  • config.json
    852 Bytes
    Epoch 4 about 3 years ago
  • diffusion_pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    455 MB
    xet
    Epoch 74 about 3 years ago
  • model_index.json
    181 Bytes
    Epoch 4 about 3 years ago
  • scheduler_config.json
    289 Bytes
    Upload scheduler_config.json about 3 years ago