Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use smokeweed/Gerph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smokeweed/Gerph with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smokeweed/Gerph", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from smokeweed/Gerph: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/smokeweed/Gerph/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://smokeweed/Gerph@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/smokeweed/Gerph/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 69f8bc1dbec90fb5a7f3f29e8bbd032ce931e46006f7b3b8e672d67bccad5025
- Size of remote file:
- 492 MB
- SHA256:
- fe63a0b598a82711c4654c2afc005625c6f17167b1ba391e624d83d82e7b9753
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