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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Download README.md from TristanJLegg/MinecraftStyleStableDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 804 Bytes
-
https://huggingface.co/TristanJLegg/MinecraftStyleStableDiffusion/resolve/main/README.md
- Command line
-
hf download hf://TristanJLegg/MinecraftStyleStableDiffusion/README.md
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curl -L -o README.md https://huggingface.co/TristanJLegg/MinecraftStyleStableDiffusion/resolve/main/README.md
804 Bytes
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
output:
url: images/2000_custom_lora_output_0.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
license: mit
MinecraftStyleStableDiffusion

- Prompt
- -
Model description
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
pipe.load_lora_weights("TristanJLegg/MinecraftStyleStableDiffusion")
prompt = "a cabin in the woods"
img = pipe(prompt).images[0]
img.save(f"minecraft_style_stable_diffusion.png")
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.