Text-to-Image
Diffusers
ONNX
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("TheyCallMeHex/Mo-Di-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
Mo-Di Diffusion
This model was converted to ONNX from Mo-Di Diffusion
Sample Images
An modern disney style ironman
| LMS Scheduler | Euler Scheduler | Euler Ancestral Scheduler | DDPM Scheduler | DDIM Scheduler | KDPM2 Scheduler |
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Seed: 207582124 GuidanceScale: 7.5 NumInferenceSteps: 30
Mo-Di Diffusion Tokens
The tokens for Mo-Di Diffusion are:
- modern disney style
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