Instructions to use Rexlygod/stable_deffusion_botox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rexlygod/stable_deffusion_botox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rexlygod/stable_deffusion_botox", 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
Download checkpoint-5000/optimizer.bin from Rexlygod/stable_deffusion_botox: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/Rexlygod/stable_deffusion_botox/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://Rexlygod/stable_deffusion_botox/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Rexlygod/stable_deffusion_botox/resolve/main/checkpoint-5000/optimizer.bin
6.88 GB
- Xet hash:
- ca8a1602082659ee738641ffe44f6190b8d9a1adb448dc5571333dd7543baa42
- Size of remote file:
- 6.88 GB
- SHA256:
- c0abdbe4eaa8065a45527dc9e8c22fe9e0c63443f222bd044f5fb6cb3909d325
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