How to use ByteDance/Hyper-SD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ByteDance/Hyper-SD") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
use the workflow : Hyper-SD15-Nsteps-lora-workflow.json
SD15 + 8steps-lora :
SD15 + 8steps-CFG-lora
Hi, @Million You would need to set the cfg scale (5~8) for CFG LoRA.
@Yanzuo Thanks, it works fine now, still not good at complicated prompts but I guess it's a limitation of the base model.
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