Unconditional Image Generation
Diffusers
Safetensors
English
bitdance
imagenet
class-conditional
custom-pipeline
Instructions to use BiliSakura/BitDance-ImageNet-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/BitDance-ImageNet-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/BitDance-ImageNet-diffusers", 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 BitDance_B_4x/model_index.json from BiliSakura/BitDance-ImageNet-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 212 Bytes
-
https://huggingface.co/BiliSakura/BitDance-ImageNet-diffusers/resolve/a1663bf98e88911bf43c5961334b2e3d04bf2bc8/BitDance_B_4x/model_index.json
- Command line
-
hf download hf://BiliSakura/BitDance-ImageNet-diffusers@a1663bf98e88911bf43c5961334b2e3d04bf2bc8/BitDance_B_4x/model_index.json
-
curl -L -o model_index.json https://huggingface.co/BiliSakura/BitDance-ImageNet-diffusers/resolve/a1663bf98e88911bf43c5961334b2e3d04bf2bc8/BitDance_B_4x/model_index.json
212 Bytes
| { | |
| "_class_name": [ | |
| "pipeline_bitdance_imagenet", | |
| "BitDanceImageNetPipeline" | |
| ], | |
| "_diffusers_version": "0.36.0", | |
| "transformer": [ | |
| "modeling_transformer", | |
| "BitDanceImageNetTransformer" | |
| ] | |
| } | |