Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use yuanbit/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuanbit/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("yuanbit/model", dtype=torch.bfloat16, device_map="cuda") prompt = "ohwx man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/random_states_0.pkl from yuanbit/model: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/yuanbit/model/resolve/main/checkpoint-500/random_states_0.pkl
- Command line
-
hf download hf://yuanbit/model/checkpoint-500/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/yuanbit/model/resolve/main/checkpoint-500/random_states_0.pkl
14.6 kB
- Xet hash:
- 31986054e45893ae286c6c07bd306619078ad0ee5fd25c9c28fada9e506cf1c7
- Size of remote file:
- 14.6 kB
- SHA256:
- 7e544c0a171c53f6cf9757e9a22c9457dfaf2560f81c1f539ba056b3d4ea67df
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