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svntax-dev
/
pixel_spritesheet_4walk_combat_32x48_v1

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community
1

Instructions to use svntax-dev/pixel_spritesheet_4walk_combat_32x48_v1 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_v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("svntax-dev/pixel_spritesheet_4walk_combat_32x48_v1")
    
    prompt = "Create a pixel art spritesheet of the character in the image. Keep the appearance the same. 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]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
pixel_spritesheet_4walk_combat_32x48_v1
2.36 GB
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  • 1 contributor
History: 5 commits
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  • pixel_4walk_32x48_qwen_image_edit_2511_v1.safetensors
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