Instructions to use 22h/vintedois-diffusion-v0-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 22h/vintedois-diffusion-v0-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("22h/vintedois-diffusion-v0-1", 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
dreambooth prompt / training details
#9
by acul3 - opened
first of all, thanks for sharing the models..nice work @pedrogengo @piEsposito
i see @piEsposito tweet about using only 1 photo to train dreambooth-like model but generating awesome result
(https://twitter.com/piesposi_to/status/1607450868709736448)
can you guys share the training details and what prompt to use for that matter?
thank you guys
@pedrogengo I think that's your cue.
Any updates π @piEsposito @pedrogengo