SDXL LoRA DreamBooth - henrysun9074/drone-humpback-whale-lora-1
- Prompt
- Drone image of a <s0><s1> in the ocean, humpback whale, clear water, visible pectoral fins, ultra realistic, floating ice
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, humpback whale
- Prompt
- Drone image of a <s0><s1> in the ocean, visible pectoral fins, ultra realistic, dark water, humpback whale
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, light blue water, still water, humpback whale
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, still water, humpback whale
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, ultra realistic, small ripples, humpback whale
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, one underwater
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, floating ice
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, floating ice
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, submerged pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, splashes
- Prompt
- Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic
- Prompt
- Drone image of two <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic, small ripples
Model description
These are henrysun9074/drone-humpback-whale-lora-1 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
Download model
Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download
drone-humpback-whale-lora-1.safetensorshere 💾.- Place it on your
models/Lorafolder. - On AUTOMATIC1111, load the LoRA by adding
<lora:drone-humpback-whale-lora-1:1>to your prompt. On ComfyUI just load it as a regular LoRA.
- Place it on your
- Embeddings: download
drone-humpback-whale-lora-1_emb.safetensorshere 💾.- Place it on it on your
embeddingsfolder - Use it by adding
drone-humpback-whale-lora-1_embto your prompt. For example,Drone image of a drone-humpback-whale-lora-1_emb in the ocean, clear water, visible pectoral fins, ultra realistic(you need both the LoRA and the embeddings as they were trained together for this LoRA)
- Place it on it on your
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('henrysun9074/drone-humpback-whale-lora-1', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='henrysun9074/drone-humpback-whale-lora-1', filename='drone-humpback-whale-lora-1_emb.safetensors' repo_type="model")
state_dict = load_file(embedding_path)
pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
image = pipeline('Drone image of a <s0><s1> in the ocean, clear water, visible pectoral fins, ultra realistic').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Trigger words
To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
to trigger concept TOK → use <s0><s1> in your prompt
Details
All Files & versions.
The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.
LoRA for the text encoder was enabled. False.
Pivotal tuning was enabled: True.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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Model tree for henrysun9074/drone-humpback-whale-lora-1
Base model
stabilityai/stable-diffusion-xl-base-1.0