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:
- 9e114f0773c3d98bc63098fec37d732ee8d01fcf7abdfce85237df1384bd07f0
- Size of remote file:
- 1.72 GB
- SHA256:
- ee9cae4b43f6edf2d368dc9d3745cee2ce2dfbb0a94d19cfa4b7679352d89da4
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