Instructions to use nitrosocke/Future-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/Future-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/Future-Diffusion", 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
#24 opened 11 months ago
by
SFconvertbot
More Than 18 Stable Diffusion Tutorial Videos Automatic1111 Web UI for PC and Shivam Google Colab even NMKD GUI - DreamBooth - Textual Inversion - Training - Model Injection - Custom Models - Txt2Img
#23 opened about 3 years ago
by
MonsterMMORPG
Trying to convert it to onnx, got an error
#22 opened over 3 years ago
by
joshyy6449
Adding `safetensors` variant of this model
#21 opened over 3 years ago
by
Zafkieldark
Not working anymore
#19 opened over 3 years ago
by
hjjhg
Model not working now?
4
#18 opened over 3 years ago
by
LunSei
What is the difference between the two checkpoints? Are both 2.0?
2
#12 opened over 3 years ago
by
xfreakazoidx
How did you train the 2.0 model?
#9 opened over 3 years ago
by
GamingDaveUK
Hey Nitro,thanks for the model.Here is how people can make it work in Automatic's Web UI
3
#8 opened over 3 years ago
by
Enigmator
how to enable this checkpoint?
4
#7 opened over 3 years ago
by
hjjhg
Using the new update from AUTO1111
👍 1
2
#6 opened over 3 years ago
by
KC01