Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/HIMAWARI_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/HIMAWARI_v1 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/HIMAWARI_v1", 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
[digiplay/HIMAWARI_v1] - Sample images I made thru Huggingface's API & prompt
#3
by digiplay - opened
Thanks for these images! They give a more accurate idea of what to expect from the inference api, and I appreciate the sharing of the prompt, that way one can compare what other models do with it! 🤗
You're welcome, actually we should thank huggingface.co together haha,
and many many models developers ❤️
and thank you for using models and feedback for me.
you are so sweet so warm 🥹💐



