Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/OldFish_v1.1mix_hello with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/OldFish_v1.1mix_hello with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/OldFish_v1.1mix_hello", 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 digiplay/OldFish_v1.1mix_hello: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/digiplay/OldFish_v1.1mix_hello/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://digiplay/OldFish_v1.1mix_hello/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digiplay/OldFish_v1.1mix_hello/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 9a1dc1922957fb22721bde95ccc5c0bf41296fdb8855b94361714ec428c45693
- Size of remote file:
- 492 MB
- SHA256:
- 5bbba9f44254b2a328dacdcd0d8ba8d53d6fc852f67807446aa3d8a8e8e32e6e
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