Instructions to use wojols/FishVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wojols/FishVision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wojols/FishVision", 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
| license: apache-2.0 | |
| tags: | |
| - stable_diffusion | |
| - checkpoint | |
| library_name: diffusers | |
| <h1>Model info:</h1> | |
| https://civitai.com/models/111636/fishvision<br> | |
| <a href="https://civitai.com/models/111636/fishvision">Sample images</a> | |
| <hr> | |
| <h2>Training</h2> | |
| <b>Steps:</b> 1,000<br> | |
| <b>Dataset:</b> 103 images | |
| <br><br> | |
| <h2>Usage Tips</h2> | |
| <b>Trigger Words:</b> FISH, FISHES<br> | |
| <b>Clip skip:</b> 2<br> | |
| <b>Sampler:</b> DPM++ 2M SDE |