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
Download unet/diffusion_pytorch_model.bin from Yntec/lamettaNightly: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/lamettaNightly/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/lamettaNightly/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/lamettaNightly/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 5ca2b8627b4598a8fef51f2d45c6b738f0538e47a446400b38fc638235457669
- Size of remote file:
- 3.44 GB
- SHA256:
- 5e99765e4cc34eb122b85192bb97dc14beb304ceb7ae1c9290311b42ebea2774
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