import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("pmczip/MiniMaxH3_LoRAs", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("lynaNSFW/minimaxH3_Collection")
prompt = "-"
image = pipe(prompt).images[0]minimaxH3_Collection
.png)
- Prompt
- -
Model description
a Collection of daily new or changing Minimax H3 Loras...Can't keep up testing haha -
all Loras are from someone and are highly appreciated
https://civitai.red/search/models?baseModel=MiniMax%20H3&sortBy=models_v9
CS Model: https://civitai.red/models/2857340/hmcumshot-cumshot-lora-for-minimax-h3?modelVersionId=3238531 / Trigger: cumshot
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Download them in the Files & versions tab.
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