Instructions to use PSJJ/project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PSJJ/project with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PSJJ/project") prompt = "Please generate a realistic human image with clear facial features, natural body proportions, and diverse poses. The generated person should resemble a genuine photograph with realistic lighting, clothing, and background. Pay attention to details like facial expressions, hair, and skin texture. Thank you!" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse files- README.md +25 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_lora_weights.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-25/optimizer.bin +3 -0
- checkpoint-25/pytorch_lora_weights.bin +3 -0
- checkpoint-25/random_states_0.pkl +3 -0
- checkpoint-25/scheduler.bin +3 -0
- checkpoint-50/optimizer.bin +3 -0
- checkpoint-50/pytorch_lora_weights.bin +3 -0
- checkpoint-50/random_states_0.pkl +3 -0
- checkpoint-50/scheduler.bin +3 -0
- checkpoint-75/optimizer.bin +3 -0
- checkpoint-75/pytorch_lora_weights.bin +3 -0
- checkpoint-75/random_states_0.pkl +3 -0
- checkpoint-75/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- pytorch_lora_weights.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: ((Best quality)), ((masterpiece)), ((realistic)) photo of a person. The photo will be taken with soft, even lighting in an indoor setting. The style will focus on realism, using digital photography as the medium. The artwork will capture the subject in a professional attire. The color scheme will consist of neutral tones, creating a refined and polished appearance.
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA DreamBooth - PSJJ/project
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on ((Best quality)), ((masterpiece)), ((realistic)) photo of a person. The photo will be taken with soft, even lighting in an indoor setting. The style will focus on realism, using digital photography as the medium. The artwork will capture the subject in a professional attire. The color scheme will consist of neutral tones, creating a refined and polished appearance. using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: True.
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