Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Retro
3D
Pixar
Elldreth
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/GoldenEra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/GoldenEra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/GoldenEra", 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.fp16.bin from Yntec/GoldenEra: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Yntec/GoldenEra/resolve/main/text_encoder/pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/GoldenEra/text_encoder/pytorch_model.fp16.bin
-
curl -L -o pytorch_model.fp16.bin https://huggingface.co/Yntec/GoldenEra/resolve/main/text_encoder/pytorch_model.fp16.bin
246 MB
- Xet hash:
- 2a0ad131c116e7c55669cd55424fb35f0fc1b0ede97c69f5b4e717da53f6f1c5
- Size of remote file:
- 246 MB
- SHA256:
- 6511b1f4eff40af2ba44bf037a11f4aeb712901598b572b5ce98f3693b101458
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