Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Character Design
Animals
Adorable
General
Anime
Art
Girl
LandScapes
aji1
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Zoom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Zoom 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/Zoom", 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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README.md
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base_model_relation: merge
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#Zoom!
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This model provides better backgrounds than the ZooFun model and better animals than DreamShaper 8 when you use ZooFun in the prompt! Samples and prompts (all use seed 9119):
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- Yntec/ZooFun
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base_model_relation: merge
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# Zoom!
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This model provides better backgrounds than the ZooFun model and better animals than DreamShaper 8 when you use ZooFun in the prompt! Samples and prompts (all use seed 9119):
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