Instructions to use TristanJLegg/MinecraftStyleStableDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TristanJLegg/MinecraftStyleStableDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TristanJLegg/MinecraftStyleStableDiffusion") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/2000_custom_lora_output_0.png
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pytorch_lora_weights.safetensors
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oid sha256:a774f9ac59bfc2263f5ea378a8d4f51737a3d7677b5ddc430d130d502d5fbbbd
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