Instructions to use EnD-Diffusers/RealitySucksMix2-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/RealitySucksMix2-Beta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/RealitySucksMix2-Beta", 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 vae/diffusion_pytorch_model.bin from EnD-Diffusers/RealitySucksMix2-Beta: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/EnD-Diffusers/RealitySucksMix2-Beta/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://EnD-Diffusers/RealitySucksMix2-Beta/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/EnD-Diffusers/RealitySucksMix2-Beta/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 7962a00a13ef2a00ba13c97d0f720aa3b8883d045f166fd8397185dac371933b
- Size of remote file:
- 335 MB
- SHA256:
- 302208f6ac942f0ade9742a05dc3778a79b9109225d20da1b7afdf55bd83be58
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