Instructions to use wimvanhenden/realisticVisionV51Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wimvanhenden/realisticVisionV51Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wimvanhenden/realisticVisionV51Diffusers", 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
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README.md
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This is a diffusers version of the realistic-vision-v51 model on Civitai
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https://civitai.com/models/4201/realistic-vision-v51
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It has been created with the 'convert_original_stable_diffusion_to_diffusers.py' from Diffusers https://github.com/huggingface/diffusers/tree/main/scripts
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