import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zai-org/GLM-Image", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Barathrum17/ff")
prompt = "acxc"
image = pipe(prompt).images[0]bdxfdxbf
.png)
- Prompt
- acxc
- Negative Prompt
- ac
Model description
svsv
Trigger words
You should use naomi to trigger the image generation.
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Base model
zai-org/GLM-Image