Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
3D artworks
General purpose
Photorealistic
Anime
Pixar
CGI
nitrosocke
PromptSharingSamaritan
artificialguybr
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Red with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Red 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/Red", 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/Red: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/Red/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/Red/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/Red/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- e718c6f00515aeb32091593cd441e5c0ab1962355205c1fd6dc46969da4c9393
- Size of remote file:
- 492 MB
- SHA256:
- a90636d75782937bd7b4b962882af745f4e7e2b2e8be5a0cc934a00d6b99d343
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