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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dea3574628b8d44b82eb968882cfe7b29dd8fb402f72339ab3c8a65e8197e74e
- Size of remote file:
- 246 MB
- SHA256:
- 60fc555d9b1816b1d5532d2bf90a720f26e1e8a13acb22775c46544d6cc1ed3d
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