import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Gazingstars123/Anima-2.9B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("x0mhb788/mohamedddd")
prompt = "<a href=\"https://mohamed.com\">mohamed</a>"
image = pipe(prompt).images[0]<h1>mohamed</h1>
- Prompt
- <a href="https://mohamed.com">mohamed</a>
- Negative Prompt
- <a href="https://mohamed.com">mohamed</a>
Model description
<a href="https://mohamed.com">mohamed</a>
Trigger words
You should use <a href="https://mohamed.com">mohamed</a> to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for x0mhb788/mohamedddd
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima Finetuned
Gazingstars123/Anima-2.9B