Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Chibi
Adorable
Lasorco
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/lamettaNightly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/lamettaNightly 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/lamettaNightly", 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
Commit History
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Adding `diffusers` weights of this model (#2)
- Adding `diffusers` weights of this model (76750e4718bb25223b1bc4c2e8dac0a467d6fca5)8c8db67
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Update scheduler/scheduler_config.json
c8b5ebd
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Update scheduler/scheduler_config.json
7f09651 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (22f5f79d3e8d187f2958b660b275f1467bd4b57d)2f9e934