Instructions to use d1ngdongji/MCSkin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use d1ngdongji/MCSkin 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-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("d1ngdongji/MCSkin") prompt = "Generate a 64x64 pixel texture maps of this Minecraft character" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 672fc621c0f32ca808a76012607a8f2ff03b84f04f2f30bc4573662dced285ae
- Size of remote file:
- 172 kB
- SHA256:
- 24b2fb77bcb2f720a11d1168b67f00d49b39547e462b74ce349bf0036a612be0
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