Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Beautiful
Fantasy
AreThoseLevel4Plates
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/level4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/level4 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/level4", torch_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
- Xet hash:
- fe0abd63abe0f9f7fa1623aa78da339d2e2fc8f5f05a6ea0637fcc9cd487acf8
- Size of remote file:
- 246 MB
- SHA256:
- f864e108d56cd6afe88613add18a91dbcd970ce938d49c0078993af444aa64fe
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