import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("John6666/mocase-mix-prefectponyv2-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/sana")
prompt = "score_9, score_8_up, score_7_up, score_6_up, source_anime,anime screencap,anime coloring, uncensored, outside, night time, in a public bath, stars in the sky,"
image = pipe(prompt).images[0]sana
- Prompt
- score_9, score_8_up, score_7_up, score_6_up, source_anime,anime screencap,anime coloring, uncensored, outside, night time, in a public bath, stars in the sky,
- Negative Prompt
- lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature, N0R3AL_PDXL
Trigger words
You should use sana to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
John6666/mocase-mix-prefectponyv2-sdxl