Instructions to use artificialguybr/SausageRedmond-wuerstchen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use artificialguybr/SausageRedmond-wuerstchen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("artificialguybr/SausageRedmond-wuerstchen", 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
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Check out the documentation for more information.
Sausage.Redmond is here!
Introducing Sausage.Redmond, the first (i think) big finetune of wuerstchen made by the community!
I'm grateful for the GPU time from Redmond.AI that allowed me to make this LORA! If you need GPU, then you need the great services from Redmond.AI.
The model is not perfect but its really cool to gen!
I really hope you like this and use it.
To use it:
https://github.com/vladmandic/automatic
or
https://huggingface.co/warp-ai/wuerstchen-prior#how-to-run Script
You just need to change the
prior_pipeline = WuerstchenPriorPipeline.from_pretrained(
"warp-ai/wuerstchen-prior", torch_dtype=dtype
).to(device)
To:
prior_pipeline = WuerstchenPriorPipeline.from_pretrained(
"artificialguybr/SausageRedmond-wuerstchen", torch_dtype=dtype
).to(device)
If you like the model and think it's worth it, you can make a donation to my Patreon or Ko-fi.
Patreon:
π Website
You can find more of my models, projects, and information on my official website:
π Prompt Hub
Need high-quality prompts for image models and LLMs? Explore findgoodprompt.com.
π Support My Work
If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
- Patreon: Support on Patreon
- Ko-fi: Buy me a Ko-fi
- Buy Me a Coffee: Buy me a Coffee
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