Instructions to use dallinmackay/Van-Gogh-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dallinmackay/Van-Gogh-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("dallinmackay/Van-Gogh-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
- Draw Things
- DiffusionBee
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### Van Gogh Diffusion
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This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from the film **_Loving Vincent_**. Use the token **_lvngvncnt_** at the BEGINNING of your prompts to use the style (e.g., "lvngvncnt, beautiful woman at sunset"). This model works best with the Euler sampler (NOT Euler_a).
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### Van Gogh Diffusion
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v2 - fixed and working
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This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screenshots from the film **_Loving Vincent_**. Use the token **_lvngvncnt_** at the BEGINNING of your prompts to use the style (e.g., "lvngvncnt, beautiful woman at sunset"). This model works best with the Euler sampler (NOT Euler_a).
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