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AliceKJ
/
BLOCKv0.6

Image-to-Image
Diffusers
Safetensors
Flux2KleinPipeline
flux2
img2img
minecraft
skin-generation
Model card Files Files and versions
xet
Community

Instructions to use AliceKJ/BLOCKv0.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AliceKJ/BLOCKv0.6 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AliceKJ/BLOCKv0.6", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
BLOCKv0.6
16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
AliceKJ's picture
AliceKJ
Align Quick Start prompt with 4B train/eval prompt
d3dd9f5 verified 2 months ago
  • examples
    Release BLOCKv0.6 2 months ago
  • scheduler
    Release BLOCKv0.6 2 months ago
  • text_encoder
    Release BLOCKv0.6 2 months ago
  • tokenizer
    Release BLOCKv0.6 2 months ago
  • transformer
    Release BLOCKv0.6 2 months ago
  • vae
    Release BLOCKv0.6 2 months ago
  • verification
    Release BLOCKv0.6 2 months ago
  • .gitattributes
    2.02 kB
    Release BLOCKv0.6 2 months ago
  • README.md
    2.94 kB
    Align Quick Start prompt with 4B train/eval prompt 2 months ago
  • model_index.json
    504 Bytes
    Release BLOCKv0.6 2 months ago