Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/BeenReal_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/BeenReal_diffusers 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/BeenReal_diffusers", 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.fp16.bin from digiplay/BeenReal_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/digiplay/BeenReal_diffusers/resolve/main/text_encoder/pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/BeenReal_diffusers/text_encoder/pytorch_model.fp16.bin
-
curl -L -o pytorch_model.fp16.bin https://huggingface.co/digiplay/BeenReal_diffusers/resolve/main/text_encoder/pytorch_model.fp16.bin
246 MB
- Xet hash:
- ff8bda699c801e4c532f53667efd33710320143881db5374cb5e3e0b6ff3f10a
- Size of remote file:
- 246 MB
- SHA256:
- 04dbd1efab56404c795e2439c0389d8c18089adc44389c8b300cbfb8187d898d
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