Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Illustration
Cartoon
stable-diffusion
stable-diffusion-diffusers
s6yx
Instructions to use Yntec/ReVAnimated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ReVAnimated with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/ReVAnimated", 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
Change Log
#2
by Yntec - opened
Uploaded fp16-no-ema "_mini" version.
Removed fp16-no-ema "_mini" version.
The purpose of that version was to provide the same output with a smaller filesize, however, it was producing different results:
Full picture of a pretty cute girl making food, detailed face, sitting on food, intricate, aesthetic, unreal engine, neat hair, highly detailed, smooth, light novel cover art by artgerm, greg rutkowski, ilya kuvshinov, rossdraws and alphonse mucha. sharp focus, chiaroscuro, manga illustration
Uploaded "v10_pruned" version.
Updated main version now using "v10_pruned" version.
Renamed space to just "ReVAnimated".
