Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
3D Animation
nitrosocke
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Mo-Di-Diffusion-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Mo-Di-Diffusion-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Mo-Di-Diffusion-768", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Use "modern disney" in your prompts.
Mo Di Diffusion
768x768, safetensors version of this model for the inference API. For the 512x512 ckpt version visit: https://huggingface.co/nitrosocke/mo-di-diffusion
Samples and prompts:
(Click for larger)
Top left: modern disney link
Top right: modern disney lara croft
Bottom left: modern disney loli girl
Bottom right: modern disney pikachu
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