Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Horror
Pixar
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Darkside with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Darkside 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/Darkside", 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 unet/diffusion_pytorch_model.bin from Yntec/Darkside: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/Darkside/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/Darkside/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/Darkside/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 7d4c50c02be7e1c9a22ad88e9b591037461798b8deb1de09cf37d8d4e9572356
- Size of remote file:
- 3.44 GB
- SHA256:
- 472b02dd69133b7768d40f899bf8cbc4c58f27fc844bafdf856c98fd9c7503e8
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