import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalleV1.1", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("LegoClipStars/Spike")
prompt = "NEFT"
image = pipe(prompt).images[0]Spike
- Prompt
- NEFT
- Negative Prompt
- flying dragon
Model description
Here's the RVC (700 epoch) voice model of Spike the dragon from MLP:FIM
Trigger words
You should use Please spare me to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for LegoClipStars/Spike
Base model
dataautogpt3/OpenDalleV1.1