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 text_encoder/model.fp16.safetensors from Yntec/Luma: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Yntec/Luma/resolve/5d843ffc1a928c15cc1bdce737f026522e2923b9/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://Yntec/Luma@5d843ffc1a928c15cc1bdce737f026522e2923b9/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/Yntec/Luma/resolve/5d843ffc1a928c15cc1bdce737f026522e2923b9/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- 6d176753872ab109207726b0802c626c73904aa24b08602f91df9a28065f85eb
- Size of remote file:
- 246 MB
- SHA256:
- a896d03a25d4f585cc8ff06754d6bc9f89ac9fb29529455f526108cb517c2119
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