Instructions to use Yntec/GenerateMe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/GenerateMe 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/GenerateMe", 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
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/GenerateMe", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Generate Me!
This model with the MoistMixV2 VAE baked in. Comparison:
(click for larger)
Samples and prompts:
(click for larger)
Top left: A high contrast portrait of a happy fuzzy panda dressed as a chef in a high end kitchen making dough. There is a painting of flowers on the wall behind him.
Top right: manga art, muted colors, detailed painting, halftone dithering, cute girl with shoulderlength black bobcut in baggy black clothes, purple cape, beautiful eyes, complex sigils
Bottom left: a close up portrait photo of pretty cute girl in wastelander clothes, long haircut, pale skin, background is city ruins, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
Bottom right: an illustration of a baby hedgehog with headphones holding an ribbon umbrella in the rain
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