Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
3D
LandScapes
stable-diffusion
stable-diffusion-diffusers
XpucT
Lykon
Instructions to use Yntec/DeliShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DeliShaper 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/DeliShaper", 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
Recipe
#3
by Yntec - opened
Weighted Sum 0.75
Primary model:
DreamShaper 8
Secondary model:
Deliberate
Output model:
DeliberateShaper
Add Difference 1.0
Primary model:
DeliberateShaper
Secondary model:
DeliberateShaper
Tertiary model:
v1-5-pruned-fp16-no-ema (https://huggingface.co/Yntec/DreamLikeRemix/resolve/main/v1-5-pruned-fp16-no-ema.safetensors)
Output Model:
DeliberateShaperEssence
Weighted Sum 0.50
Primary model:
DeliberateShaperEssence
Secondary model:
DeliberateShaper
Output Model:
DeliShaperAlpha
Super Merge Elemental Adjust:
0,0,0,1,0,-2,0
Output Model:
DeliShaper