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uwcc/WesAnderson
WesAnderson is a text-to-image model from uwcc. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
Model trained with AI Toolkit by Ostris <Gallery /
Downloads · 30 days
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10% of all-time downloads
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.safetensors516 MB · 99%
From the Hugging Face model README
Model trained with AI Toolkit by Ostris <Gallery />
You should use WesAnderson to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('uwcc/WesAnderson', weight_name='WesAnderson')
image = pipeline('A church in a field on a sunny day, [trigger] style.').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers