Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/MeinaMix_v11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/MeinaMix_v11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/MeinaMix_v11", 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/pytorch_model.bin from digiplay/MeinaMix_v11: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/digiplay/MeinaMix_v11/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://digiplay/MeinaMix_v11/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digiplay/MeinaMix_v11/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- e1868a371a7c37b2563f0375b01be783bb328a302e0566d10cbf89c85e31232f
- Size of remote file:
- 492 MB
- SHA256:
- e7cd82627171aa0bfaf1a54dd5ff62d0b2c098742e55373f01a453d4fbe85f93
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