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("TheyCallMeHex/Inkpunk-Diffusion-ONNX", dtype=torch.bfloat16, device_map="cuda")

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

OnnxStack

This model has been converted to ONNX and tested with OnnxStack

Inkpunk Diffusion

This model was converted to ONNX from Inkpunk Diffusion

Sample Images

An nvinkpunk male warrior

LMS Scheduler Euler Scheduler Euler Ancestral Scheduler DDPM Scheduler DDIM Scheduler KDPM2 Scheduler
Image of browser inferencing on sample images. Image of browser inferencing on sample images. Image of browser inferencing on sample images. Image of browser inferencing on sample images. Image of browser inferencing on sample images. Image of browser inferencing on sample images.
 Seed: 207582124     GuidanceScale: 7.5     NumInferenceSteps: 30

Inkpunk Diffusion Tokens

The tokens for Inkpunk Diffusion are:

  • nvinkpunk
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