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
- Draw Things
- DiffusionBee
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Output Model: RedShiny-Diffusion
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- SuperMerger Weight sum Use MBW
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Model A: LiberteRedshift
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Output Model: RedShiny-Diffusion
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Model A: LiberteRedshift
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