How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Laxhar/noobai-XL-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("DRLaDRLa/dzina")

prompt = "solo, dzina, feral, male, detailed background, masterpiece, best quality, newest, recent, (snowskau:0.5), blue eyes, looking at viewer, grass, <lora:dzina:1> Negative prompt: worst quality, low quality, signature, (anthro:2), fur, slim, Steps: 22, Sampler: Euler a, Schedule type: SGM Uniform, CFG scale: 4, Seed: 3218824368, Size: 1024x1024, Model hash: eb010a11de, Model: BB95FurryMixV2.2, Version: f1.0.0v2-v1.10.1RC-latest-2463-g99bb3d5d, Source Identifier: Stable Diffusion web UI"
image = pipe(prompt).images[0]

Dzina

Prompt
solo, dzina, feral, male, detailed background, masterpiece, best quality, newest, recent, (snowskau:0.5), blue eyes, looking at viewer, grass, <lora:dzina:1> Negative prompt: worst quality, low quality, signature, (anthro:2), fur, slim, Steps: 22, Sampler: Euler a, Schedule type: SGM Uniform, CFG scale: 4, Seed: 3218824368, Size: 1024x1024, Model hash: eb010a11de, Model: BB95FurryMixV2.2, Version: f1.0.0v2-v1.10.1RC-latest-2463-g99bb3d5d, Source Identifier: Stable Diffusion web UI

Model description

For Lem.

Trigger words

You should use dzina to trigger the image generation.

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