Instructions to use svntax-dev/pixel_spritesheet_4walk_small_lora_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_small_lora_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("black-forest-labs/FLUX.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("svntax-dev/pixel_spritesheet_4walk_small_lora_v1") prompt = "A pixel art spritesheet of a medieval knight wearing metal armor and a helmet with a red plume. The spritesheet is a 4 by 4 grid of four rows of frames - first row is 3 walking frames facing down and 1 frame both arms raised, second row is 3 walking frames facing left and 1 frame jumping left, third row is 3 walking frames facing right and 1 frame jumping right, fourth row is 3 walking frames back view facing up and 1 frame lying on floor." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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images/knight.png
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images/werewolf.png
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images/witch.png
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oid sha256:a968c042c2443bf6bfed41ce833a0e06bf5bbb7961ac40b88fb7257a940ae54e
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pixel_4walk_small_flux2_klein_base_4b_v1_000002750.safetensors
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