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0x434D
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TIR_ControlNet

Diffusers
Safetensors
Model card Files
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How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("0x434D/TIR_ControlNet", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Model

Model card for following GitHub repo:

https://github.com/HensoldtOptronicsCV/TIRControlNet

Built using

Base model: 

huggingface.co/stabilityai/stable-diffusion-2-1

Lib 

huggingface.co/docs/diffusers/index

License

This model, including any modifications, is licensed under the CreativeML Open RAIL++-M License. A copy of the license is linked here.

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