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heine123
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test-lora

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Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
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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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("heine123/test-lora")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

YAML Metadata Error:"base_model" with value "/home/ubuntu/model/stable-diffusion-v1-4" is not valid. Use a model id from https://hf.co/models.

LoRA text2image fine-tuning - heine123/test-lora

These are LoRA adaption weights for /home/ubuntu/model/stable-diffusion-v1-4. The weights were fine-tuned on the None dataset. You can find some example images in the following.

img_0 img_1 img_2 img_3

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