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abigail_spencer_lora_flux_nf4 takes inspiration from this post (https://huggingface.co/blog/flux-qlora). The training was executed on a local computer with 1000 timesteps and the same parameters as the link mentioned above, which took around 6 hours on 8GB VRAM 4060. The peak VRAM usage was around 7.7GB. To avoid running low on VRAM, both transformers and text_encoder were quantized. All the images generated here are using the below parameters1import torch
2from diffusers import FluxPipeline, FluxTransformer2DModel
3from transformers import T5EncoderModel
4
5text_encoder_4bit = T5EncoderModel.from_pretrained(
6 "hf-internal-testing/flux.1-dev-nf4-pkg", subfolder="text_encoder_2",torch_dtype=torch.float16,)
7
8transformer_4bit = FluxTransformer2DModel.from_pretrained(
9 "hf-internal-testing/flux.1-dev-nf4-pkg", subfolder="transformer",torch_dtype=torch.float16,)
10
11pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.float16,
12 transformer=transformer_4bit,text_encoder_2=text_encoder_4bit)
13
14pipe.load_lora_weights("je-suis-tm/abigail_spencer_lora_flux_nf4",
15 weight_name='pytorch_lora_weights.safetensors')
16
17prompt="Full body view of Abigail Spencer dressed up as commanding Native Caribbean pirate captain. She is stands tall amidst the Pirate City of Lost Ships, her fierce expression and intricate tattoos reflecting chaos. Dramatic side lighting adds intensity to the scene, blending natural and futuristic elements. Wearing traditional pirate Captains Clothing and hat as depicted as Captain Jack Sparrow"
18
19image = pipe(
20 prompt,
21 height=512,
22 width=512,
23 guidance_scale=5,
24 num_inference_steps=20,
25 max_sequence_length=512,
26 generator=torch.Generator("cpu").manual_seed(0),
27 ).images[0]
28
29image.save("abigail_spencer_lora_flux_nf4.png")Abigail Spencer to trigger the image generation.