Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
Cute
Mochi
McSionnaigh
XpucT
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Dedicated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Dedicated 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/Dedicated", 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:
- 85bafda0240a1e559147edbf1d4a924eef3bf8296f095d5d3aeccaba07b59a11
- Size of remote file:
- 2.38 GB
- SHA256:
- 943b231626c092ad29eb53d2df17481ef3c3c48f56059e8d40befdf240e19578
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