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.fp16.bin from Yntec/lamettaNightly: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/Yntec/lamettaNightly/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/lamettaNightly/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/lamettaNightly/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.72 GB
- Xet hash:
- cb14f0e45148e1d250a8941bf64081d3d4905e7f3e000257a466983878556d47
- Size of remote file:
- 1.72 GB
- SHA256:
- 2b7a98b126201f203f3867804b41565651c77aa25b3ac7926d0b2e980a87b83f
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