Instructions to use Ryzan/fantasy-diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryzan/fantasy-diffusion-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ryzan/fantasy-diffusion-v1", 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
fantasy-diffusion-v1 diffusion ML model by Ryzan (Ryan Han)
This is currently a base model
trained by me with DreamBooth
This model is trained on 400 images of semi-realistic fantasy art
(mostly female so expect results to be mostly female too)
This model does not use any finetuning techniques such as face restoration or in-painting as of yet
To get the fantasy style, write 'fantastyle' before your prompt (ex: 'fantastyle girl')
In addition, adding the any of the following words makes it higher quality: highly detailed, intricate, 4k, 8k, sharp focus, detailed hair, detailed
Sample pictures of this concept:
- Downloads last month
- 45

.jpg)

.jpg)

.jpg)