rookieSJTU
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- README.md +95 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-3000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-4000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- checkpoint-5000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-6000/optimizer.bin +3 -0
- checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-6000/random_states_0.pkl +3 -0
- checkpoint-6000/scheduler.bin +3 -0
- checkpoint-6000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-7000/optimizer.bin +3 -0
- checkpoint-7000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-7000/random_states_0.pkl +3 -0
- checkpoint-7000/scheduler.bin +3 -0
- checkpoint-7000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-8000/optimizer.bin +3 -0
- checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-8000/random_states_0.pkl +3 -0
- checkpoint-8000/scheduler.bin +3 -0
- checkpoint-8000/zhongguoribao_model_setting14_emb.safetensors +3 -0
- checkpoint-9000/optimizer.bin +3 -0
- checkpoint-9000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-9000/random_states_0.pkl +3 -0
- checkpoint-9000/scheduler.bin +3 -0
README.md
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---
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- diffusers-training
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- text-to-image
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- diffusers
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- lora
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- template:sd-lora
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widget:
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- text: 'a <shanshui> decorative illustration of a university'
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output:
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url:
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"image_0.png"
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- text: 'a <shanshui> decorative illustration of a university'
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output:
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url:
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"image_1.png"
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- text: 'a <shanshui> decorative illustration of a university'
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output:
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url:
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"image_2.png"
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- text: 'a <shanshui> decorative illustration of a university'
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output:
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url:
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"image_3.png"
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: a <shanshui> decorative illustration
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license: openrail++
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---
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# SD1.5 LoRA DreamBooth - rookieSJTU/zhongguoribao_model_setting14
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<Gallery />
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## Model description
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### These are rookieSJTU/zhongguoribao_model_setting14 LoRA adaption weights for runwayml/stable-diffusion-v1-5.
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## Download model
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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- **LoRA**: download **[`zhongguoribao_model_setting14.safetensors` here 💾](/rookieSJTU/zhongguoribao_model_setting14/blob/main/zhongguoribao_model_setting14.safetensors)**.
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- Place it on your `models/Lora` folder.
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- On AUTOMATIC1111, load the LoRA by adding `<lora:zhongguoribao_model_setting14:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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- *Embeddings*: download **[`zhongguoribao_model_setting14_emb.safetensors` here 💾](/rookieSJTU/zhongguoribao_model_setting14/blob/main/zhongguoribao_model_setting14_emb.safetensors)**.
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- Place it on it on your `embeddings` folder
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- Use it by adding `zhongguoribao_model_setting14_emb` to your prompt. For example, `a <shanshui> decorative illustration`
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(you need both the LoRA and the embeddings as they were trained together for this LoRA)
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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from huggingface_hub import hf_hub_download
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from safetensors.torch import load_file
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pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('rookieSJTU/zhongguoribao_model_setting14', weight_name='pytorch_lora_weights.safetensors')
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embedding_path = hf_hub_download(repo_id='rookieSJTU/zhongguoribao_model_setting14', filename='zhongguoribao_model_setting14_emb.safetensors', repo_type="model")
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state_dict = load_file(embedding_path)
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pipeline.load_textual_inversion(state_dict["clip_l"], token=[], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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image = pipeline('a <shanshui> decorative illustration of a university').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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## Trigger words
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To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
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to trigger concept `TOK` → use `<s0><s1>` in your prompt
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## Details
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All [Files & versions](/rookieSJTU/zhongguoribao_model_setting14/tree/main).
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The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py).
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LoRA for the text encoder was enabled. False.
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Pivotal tuning was enabled: True.
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Special VAE used for training: None.
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