Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Photorealistic
Base Model
FallenIncursio
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/MemeDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/MemeDiffusion 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/MemeDiffusion", 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
- Xet hash:
- f63ef320cf53debe6eff3ad14f95634efce36450a149dbb4c5f6bc4b411a3b1a
- Size of remote file:
- 6.01 GB
- SHA256:
- fb3877b48e4352e7845a9a3588d4db4d14e281cc2a773c824fbd03a084a60aef
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