Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use wittenberg/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wittenberg/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wittenberg/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of cartoon girl face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/scheduler.bin from wittenberg/model: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/wittenberg/model/resolve/main/checkpoint-500/scheduler.bin
- Command line
-
hf download hf://wittenberg/model/checkpoint-500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/wittenberg/model/resolve/main/checkpoint-500/scheduler.bin
563 Bytes
- Xet hash:
- 8e41c2040c4e55e06d13ade34ec6d0b12d0dcb86e932479e112bfa3d5a0111bf
- Size of remote file:
- 563 Bytes
- SHA256:
- f86d1f18eb9c3519789dd022870fca925dee131f3e73e8a3e37fd52f259592f4
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