Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use johnslegers/epic-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnslegers/epic-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johnslegers/epic-diffusion", 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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README.md
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Arcane Diffusion & Van Gogh Diffusion blended and reblended multiple times until I got the quality & consistency
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I was looking for...
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## License
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This model is open access and available to all, with a CreativeML OpenRAIL-M
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Arcane Diffusion & Van Gogh Diffusion blended and reblended multiple times until I got the quality & consistency
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I was looking for...
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Epic Diffusion is also [available on CivitAI](https://civitai.com/models/3855/epic-diffusion).
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## License
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This model is open access and available to all, with a CreativeML OpenRAIL-M
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