Instructions to use stablediffusionapi/henmixreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/henmixreal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/henmixreal", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 549e615e79cf7597d155bf1c591084730b8aa01eac2235bc1efdee36d786eedd
- Size of remote file:
- 246 MB
- SHA256:
- 2fe3454fd12b9f1ba011a8942976635f2b15c6749a6cc8c0575e6cdead7ce002
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