Instructions to use anyMODE/vintage-posters-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anyMODE/vintage-posters-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anyMODE/vintage-posters-sdxl") prompt = "vntgpstr of \"Angels with dirty faces\" vintage noir<lora:vintage_poster-000003:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("anyMODE/vintage-posters-sdxl")
prompt = "vntgpstr of \"Angels with dirty faces\" vintage noir<lora:vintage_poster-000003:1>"
image = pipe(prompt).images[0]Vintage Posters

- Prompt
- vntgpstr of "Angels with dirty faces" vintage noir<lora:vintage_poster-000003:1>
Model description
use `vntgpstr subject` to create a vintage poster. Very text heavy.
Trigger words
You should use vntgpstr to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for anyMODE/vintage-posters-sdxl
Base model
stabilityai/stable-diffusion-xl-base-1.0