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:
- f7ea3204251c612ece37fed8af78e6278e7a36d396563d67c1855e8f469553bf
- Size of remote file:
- 273 kB
- SHA256:
- 81086dcc0344bd88bfdcd5baa858dbd03283182067f25d5c3e08312c466fa1dc
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