Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
anthro
furry
e621
nsfw
Not-For-All-Audiences
Instructions to use hearmeneigh/sd21-e621-rising-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hearmeneigh/sd21-e621-rising-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hearmeneigh/sd21-e621-rising-v2", 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
Download examples/training-legend.jpg from hearmeneigh/sd21-e621-rising-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.65 MB
-
https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/examples/training-legend.jpg
- Command line
-
hf download hf://hearmeneigh/sd21-e621-rising-v2/examples/training-legend.jpg
-
curl -L -o training-legend.jpg https://huggingface.co/hearmeneigh/sd21-e621-rising-v2/resolve/main/examples/training-legend.jpg
2.65 MB

- Xet hash:
- 2bce6505d75b0521f78e86120bccc5c817567166bbf038476c1d9c81192ebd62
- Size of remote file:
- 2.65 MB
- SHA256:
- 1b2a52c2ce96912dc2adae85726150c4091b1df16edd0fc8d98165c9eb9ad9c3
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