Instructions to use danbrown/RevAnimated-v1-2-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/RevAnimated-v1-2-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danbrown/RevAnimated-v1-2-2", 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
Does the original model with AMD?
#1
by Vector-Impulse - opened
I've been trying to find a good image generator that works with AMD and I've been having a hard time finding it. Do you know offhand if the original model that these diffuser weights are for works with AMD?
Hello @Vector-Impulse , honestly I don't know, I actually never tried generating anything with AMD so sorry I can not help you with that. However the original model checkpoint is available here too in the safetensors format: https://huggingface.co/danbrown/RevAnimated-v1-2-2/blob/main/rev-animated-v1-2-2.safetensors
Let me know if this helps!