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svntax-dev
/
pixel_spritesheet_4walk_combat_32x48_v2

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use svntax-dev/pixel_spritesheet_4walk_combat_32x48_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use svntax-dev/pixel_spritesheet_4walk_combat_32x48_v2 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Edit", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("svntax-dev/pixel_spritesheet_4walk_combat_32x48_v2")
    
    prompt = "A pixel art spritesheet of a witch with long red hair and blue eyes, wearing a purple hat and robes trimmed with white and light purple colors. The spritesheet is a 6 by 4 grid of four rows and six columns of frames - First row is 3 walking frames facing down, 2 arm swing attack frames facing down, and 1 hurt frame facing down. Second row is 3 walking frames facing left, 2 arm swing attack frames facing left, and 1 hurt frame facing left. Third row is 3 walking frames facing right, 2 arm swing attack frames facing right, and 1 hurt frame facing right. Fourth row is 3 walking frames back view facing up, 2 arm swing attack frames back view facing up, and 1 hurt frame back view facing up."
    image = pipe(prompt).images[0]
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  • DiffusionBee
pixel_spritesheet_4walk_combat_32x48_v2 / images
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