Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use aang77/animation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aang77/animation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aang77/animation", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of animation style cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from aang77/animation: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/aang77/animation/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://aang77/animation/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aang77/animation/resolve/main/checkpoint-500/optimizer.bin
6.93 GB
- Xet hash:
- d38393d41e6bacf086df7629d833b84b559e7dec15cbda028107f984f5457a59
- Size of remote file:
- 6.93 GB
- SHA256:
- f275989df2768ae34382487bbf11eb113f97b435f4a25c2a73d99f410ea895b4
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