import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Anzhc/SDXL-Text-Encoder-Longer-CLIP-L", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]An experiment, with CLIP L trained with up to 770 tokens with ~10k anime dataset, without adjusting arch. Concatenation is used to accummulate features.
Token-adjusted, with images removed if they ca'nt meet token criteria:
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