Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Simple prompts
Things
Items
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Stuff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Stuff 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/Stuff", 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:
- e8723916e5d6ddb89b150bd1b2248df409048c6d8f6357a19017b043c71ee2f7
- Size of remote file:
- 4.53 GB
- SHA256:
- 16fdabd8a06b3e31ae474ba2520e1b58ade52257bd6fb87c419a1eadb0aacc59
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