Instructions to use EnD-Diffusers/VirtualDiffusion3THETA_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/VirtualDiffusion3THETA_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/VirtualDiffusion3THETA_Diffusers", 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
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -15,6 +15,8 @@ Quasi 3d/2.5D Model based around 3d concepts such as Second Life and video games
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Licence is retained from PDXL, sorry boys!
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Use the embeds shown in the images for best outputs, the "PDXL" scores one means you don't have to use the scores anymore - this is optional but PLEASE for optimal depth and clarity use @Zovya's ZPDXL in the positive. Also there are new negatives and enhancers that will be linked in the images please use those as well!
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Join us on our journey
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Licence is retained from PDXL, sorry boys!
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[Sample](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/75122a54-14d1-4bf2-8330-95294a27fc64/width=1536,quality=90/image%20(44).jpeg)
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Use the embeds shown in the images for best outputs, the "PDXL" scores one means you don't have to use the scores anymore - this is optional but PLEASE for optimal depth and clarity use @Zovya's ZPDXL in the positive. Also there are new negatives and enhancers that will be linked in the images please use those as well!
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Join us on our journey
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