| --- |
| tags: |
| - stable-diffusion-xl |
| - stable-diffusion-xl-diffusers |
| - text-to-image |
| - diffusers |
| - lora |
| - template:sd-lora |
| widget: |
| - text: A product photo of <s0><s1> a metal clamp with a hook attached to it |
| output: |
| url: image-0.png |
| - text: A product photo of <s0><s1> a metal frame with a camera attached to it |
| output: |
| url: image-1.png |
| - text: A product photo of <s0><s1> a pair of metal bars with two handles |
| output: |
| url: image-2.png |
| - text: A product photo of <s0><s1> a green cover is on a bed in a hospital |
| output: |
| url: image-3.png |
| - text: A product photo of <s0><s1> two different images of a camera tripod and a |
| camera |
| output: |
| url: image-4.png |
| - text: A product photo of <s0><s1> a mannequin with a camera attached to it |
| output: |
| url: image-5.png |
| - text: A product photo of <s0><s1> a mannequin with a microphone attached to it |
| output: |
| url: image-6.png |
| - text: A product photo of <s0><s1> a metal pipe clamp with a handle |
| output: |
| url: image-7.png |
| - text: A product photo of <s0><s1> a white metal tripod with two arms |
| output: |
| url: image-8.png |
| - text: A product photo of <s0><s1> a metal pipe with a hose attached to it |
| output: |
| url: image-9.png |
| - text: A product photo of <s0><s1> a woman sitting on a chair with a medical device |
| output: |
| url: image-10.png |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 |
| instance_prompt: A product photo of <s0><s1> |
| license: openrail++ |
| --- |
| |
| # SDXL LoRA DreamBooth - lfischbe/m3d3quip |
|
|
| <Gallery /> |
|
|
| ## Model description |
|
|
| ### These are lfischbe/m3d3quip 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 **[`m3d3quip.safetensors` here 💾](/lfischbe/m3d3quip/blob/main/m3d3quip.safetensors)**. |
| - Place it on your `models/Lora` folder. |
| - On AUTOMATIC1111, load the LoRA by adding `<lora:m3d3quip:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/). |
| - *Embeddings*: download **[`m3d3quip_emb.safetensors` here 💾](/lfischbe/m3d3quip/blob/main/m3d3quip_emb.safetensors)**. |
| - Place it on it on your `embeddings` folder |
| - Use it by adding `m3d3quip_emb` to your prompt. For example, `A product photo of m3d3quip_emb` |
| (you need both the LoRA and the embeddings as they were trained together for this LoRA) |
| |
| |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
|
|
| ```py |
| 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('lfischbe/m3d3quip', weight_name='pytorch_lora_weights.safetensors') |
| embedding_path = hf_hub_download(repo_id='lfischbe/m3d3quip', filename='m3d3quip_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('A product photo of <s0><s1>').images[0] |
| ``` |
|
|
| 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) |
|
|
| ## 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](/lfischbe/m3d3quip/tree/main). |
|
|
| The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py). |
|
|
| 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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|
