Text-to-Image
Diffusers
Safetensors
English
image-generation
class-conditional
imagenet
pixelflow
flow-matching
Instructions to use BiliSakura/PixelFlow-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/PixelFlow-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/PixelFlow-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "golden retriever" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download PixelFlow-T2I/text_encoder/generation_config.json from BiliSakura/PixelFlow-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 147 Bytes
-
https://huggingface.co/BiliSakura/PixelFlow-diffusers/resolve/098ef8f7d57deb61e87bf25f19df92ea25e2ee60/PixelFlow-T2I/text_encoder/generation_config.json
- Command line
-
hf download hf://BiliSakura/PixelFlow-diffusers@098ef8f7d57deb61e87bf25f19df92ea25e2ee60/PixelFlow-T2I/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/BiliSakura/PixelFlow-diffusers/resolve/098ef8f7d57deb61e87bf25f19df92ea25e2ee60/PixelFlow-T2I/text_encoder/generation_config.json
147 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.27.0.dev0" | |
| } | |