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/LCM-Dreamshaper-V7-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

LCM Dreamshaper V7 Diffusion

This model was converted to ONNX from LCM Dreamshaper V7

Sample Images

A demon

Image of browser inferencing on sample images.
 Seed: 207582124     GuidanceScale: 7.5     NumInferenceSteps: 30

An angel

Image of browser inferencing on sample images.
 Seed: 207582124     GuidanceScale: 7.5     NumInferenceSteps: 30

A ninja

Image of browser inferencing on sample images.
 Seed: 207582124     GuidanceScale: 7.5     NumInferenceSteps: 30

a japanese dometic market sports car sitting in a showroom

Image of browser inferencing on sample images.
 Seed: 207582124     GuidanceScale: 7.5     NumInferenceSteps: 30

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