Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
OLDFish
RMHF
Instructions to use Yntec/GOLDFish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/GOLDFish 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/GOLDFish", torch_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
- Xet hash:
- 5fa2f745a4970c178d7cb245da237716ad63db09c7a2fbad49b50a0f82ce81be
- Size of remote file:
- 492 MB
- SHA256:
- d7eb8d5e793a07bc1c630fbc93166a67520389bc25e07d6e4e71679ffd5d069d
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