Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
Realistic
Semi-Realistic
3D
zoidbb
XpucT
SG_161222
osi1880vr
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/DeliberateRealisticWoop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DeliberateRealisticWoop 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/DeliberateRealisticWoop", 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
- Xet hash:
- 7af9632443a90119dc255e92a2e2df6f825a4329758172383db6838796d251fe
- Size of remote file:
- 167 MB
- SHA256:
- 57c4f93d3a389671ab9ce59a37c09a449c68d10e8fb5bf6cea04f99fbfd79473
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