Instructions to use RedRayz/hikari_noob_v-pred_1.1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RedRayz/hikari_noob_v-pred_1.1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RedRayz/hikari_noob_v-pred_1.1.0", 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
- Xet hash:
- e1593bc1f443eda56db5b183b27118a47c7696f8528eabe31b4c48f84aa25f3a
- Size of remote file:
- 246 MB
- SHA256:
- d6f20ee0fe62dd1da0addf65fc9a6df53a97d3b1f306b6a788eb16a56b5e520a
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