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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#15 opened about 1 year ago
by
SFconvertbot
Usable with 2 GB vram?
1
#13 opened about 3 years ago
by
BasToTheMax
Duplication of image subject
3
#12 opened over 3 years ago
by
shayeryan
Add `scale_factor` to vae config.
#10 opened over 3 years ago
by
valhalla
dreambooth prompt / training details
👍 1
2
#9 opened over 3 years ago
by
acul3
just wow :-O the prompts are available in PNG
🤗❤️ 3
8
#8 opened over 3 years ago
by
xxl2005
Thank you!
🤗❤️ 2
#5 opened over 3 years ago
by
Ayyyy
proportion?
1
#3 opened over 3 years ago
by
lincesagrado
Something to add to your Demo pictures.
2
#2 opened over 3 years ago
by
cuphi
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
AxonAxis