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
Download text_encoder/model.safetensors from Yntec/MemeDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/MemeDiffusion/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/MemeDiffusion/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/MemeDiffusion/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- bb70736603c28cf13033123df00621ff0c123c51d7e42ce776a67c8a15b017e4
- Size of remote file:
- 492 MB
- SHA256:
- b5694f44dedd506f896fe3608b4f868834ebf5278ba7bd1b94b5639953548a76
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