Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/AI-infinity-V1-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/AI-infinity-V1-fp16 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/AI-infinity-V1-fp16", 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/AI-infinity-V1-fp16: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/digiplay/AI-infinity-V1-fp16/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://digiplay/AI-infinity-V1-fp16/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digiplay/AI-infinity-V1-fp16/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 92ecb9f2f94fecaf097c66b0071ab2e00bc649e66612b6da819748c3afb7cba0
- Size of remote file:
- 492 MB
- SHA256:
- 66051cd2e388428d3a1720c2fcbb90058caa8b1db700da79be1c46b8670db1ed
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