import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("willseijits/hhv23muscle", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]hhv23muscle
Z-Image-Turbo com LoRA hhv23v1.safetensors baked at strength 0.5.
Receita do merge
- Base: Tongyi-MAI/Z-Image-Turbo
- LoRA: willseijits/hh_v17/hhv23v1.safetensors
- Strength: 0.5
- Formula:
W_new = W_base + 0.5 * (alpha/rank) * (B @ A) - Date: 2026-05-22
- Pesos modificados: 240
O arquivo hhv23v1.safetensors esta neste repo para rastreabilidade.
Como usar
Mesma API do base (Tongyi-MAI/Z-Image-Turbo), so trocar o repo_id para willseijits/hhv23muscle.
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Model tree for willseijits/hhv23muscle
Base model
Tongyi-MAI/Z-Image-Turbo