Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Photorealistic
Girls
Artwork
Landscape
Fantasy
Sexy
CornmeisterNL
SG161222
wavymulder
Ciro_Negrogni
Hivemind111
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/RadiantDiversions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RadiantDiversions 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/RadiantDiversions", 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
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# Radiant Diversions
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Samples and prompts:
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Use "Dreamlike_Diversions" in your prompt to activate the style, though, the model should perform well without it.
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Samples and prompts:
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---
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# Radiant Diversions
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Use "Dreamlike_Diversions" in your prompt to activate the style, though, the model should perform well without it.
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Samples and prompts:
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