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:
- 04d73516fc204e4560a17b06450f6971e38f3dabe7fb8cc1f7bba092a5024549
- Size of remote file:
- 3.44 GB
- SHA256:
- 572609d79e5782e52b71a2a53957bd8323e4f0107e92fc36ff8d434e50b71b5a
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