Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Chris7777777/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chris7777777/path-to-save-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("Chris7777777/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Chris7777777/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Chris7777777/path-to-save-model/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Chris7777777/path-to-save-model/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Chris7777777/path-to-save-model/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 105975ce210e7de849685089c46504df80bfb605b926b1f66ad73117f67649bc
- Size of remote file:
- 492 MB
- SHA256:
- da082a985fd66f2c19de099c7a7f36382ecd1d80829f2ac8d148ed8dc7a93c7f
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