import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bdsqlsz/LCM_FIX_RANK1")
prompt = "(masterpiece), (best quality), (super delicate), (illustration), (extremely delicate and beautiful), (dynamic angle), white and black highlights, (legendary Dragon Queen:1.3)ï¼1 girl), Hanfu, (complex details) (beautiful and delicate eyes), golden eyes, green pupils, delicate face, upper body, messy floating hair, messy hair, focus, perfect hands, (fantasy wind), <lora:sdxl_LCM_lora_rank1:1>, <lora:neg4all_bdsqlsz_xl_V7:1>"
image = pipe(prompt).images[0]LCM_FIX_RANK1
- Prompt
- (masterpiece), (best quality), (super delicate), (illustration), (extremely delicate and beautiful), (dynamic angle), white and black highlights, (legendary Dragon Queen:1.3)ï¼1 girl), Hanfu, (complex details) (beautiful and delicate eyes), golden eyes, green pupils, delicate face, upper body, messy floating hair, messy hair, focus, perfect hands, (fantasy wind), <lora:sdxl_LCM_lora_rank1:1>, <lora:neg4all_bdsqlsz_xl_V7:1>
- Negative Prompt
- photorealistic, 3d model, cinematic, bad anatomy, blurry, disembodied limb, out of frame
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for bdsqlsz/LCM_FIX_RANK1
Base model
stabilityai/stable-diffusion-xl-base-1.0 Adapter
latent-consistency/lcm-lora-sdxl