Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
art
anime
style
checkpoint
jinofcoolnes
Instructions to use Yntec/samdoesartsUlt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/samdoesartsUlt 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/samdoesartsUlt", 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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Previews and prompts:
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(lora)0.5 , (amakawa hano)0.5 , 1 girl, ray tracing, {best quality}, {{masterpiece}}, {highres}, original, extremely detailed 8K wallpaper, {an extremely delicate and beautiful}, , incredibly_absurdres, colorful, intricate detail, artbook
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pretty cute little girl in tricycle, Screenshot of an surreal streetwear 70s round minimalist architecture, Sharp, 35mm still from a sci fi light blockbuster color movie made in 2022, beautiful portrait, set in 1860, in front of a spaceship that has just landed on an alien planet, are all wearing, a robot stands nearby
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