Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
sadxzero
Instructions to use Yntec/Luma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Luma 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/Luma", 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.safetensors from Yntec/Luma: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/Luma/resolve/cf7ae6c25c14f1a8db05c5d5188415005e8cbffc/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Yntec/Luma@cf7ae6c25c14f1a8db05c5d5188415005e8cbffc/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Yntec/Luma/resolve/cf7ae6c25c14f1a8db05c5d5188415005e8cbffc/unet/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- eb7f26e7d0da83126ec339b2940ccc9a9a54ec730db60ffc06dcb9474e34e203
- Size of remote file:
- 3.44 GB
- SHA256:
- 4cc43ec3f0709d590d5692a7e89ff8cbb2166355ad3b27204ec577250486d2f0
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