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:
- 658ec1902faba666c7334f98c6ffb094fba73072f9dee2e414bd6b73705ed3c3
- Size of remote file:
- 206 kB
- SHA256:
- 30b3101f1c42c3e7ce13af3cf9b50ab93d59cc3b6a45ed3dc770c9d65aacf01a
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