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
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### fantasy-diffusion-v0 diffusion model trained by Ryzan with fast-DreamBooth
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### fantasy-diffusion-v1 is already out
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v1 has better rendering than v0
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This is currently a base model
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This model is trained on 400 images of semi-realistic fantasy art
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---
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### fantasy-diffusion-v0 diffusion model trained by Ryzan with fast-DreamBooth
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| 8 |
### fantasy-diffusion-v1 is already out
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| 9 |
v1 has better rendering than v0
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<br />
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<br />
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This is currently a base model
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<br />
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This model is trained on 400 images of semi-realistic fantasy art
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