Instructions to use Ryzan/fantasy-diffusion-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryzan/fantasy-diffusion-v0 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-v0", 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
File size: 1,548 Bytes
39d5e8c 6a0797b e9adf6e 2925ec7 a310d1a a47ef17 9b4d275 5fbc023 9b4d275 62ab7a6 cd2eaa1 62ab7a6 39d5e8c 62ab7a6 92a6388 62ab7a6 42f5fd0 62ab7a6 88620f3 39d5e8c 92a6388 62ab7a6 88620f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### fantasy-diffusion-v0 diffusion model trained by Ryzan with DreamBooth
### fantasy-diffusion-v1 is already out
v1 has better rendering than v0
<br />
see v1 at: https://huggingface.co/Ryzan/fantasy-diffusion-v1
<br />
<br />
<br />
v0 is currently a test model
<br />
This model is trained on 400 images of semi-realistic fantasy art
<br />
This model does not use any finetuning techniques such as face restoration or in-painting as of yet
Sample pictures of this concept:
<br />
Prompt: fantastyle foxgirl|Prompt: fantastyle foxgirl
:-------------------------:|:-------------------------:
 | .jpg)
Prompt: fantastyle knight|Prompt: fantastyle knight
:-------------------------:|:-------------------------:
 | .jpg)
Prompt: fantastyle mage|Prompt: fantastyle mage
:-------------------------:|:-------------------------:
 | .jpg) |