All Questions
5 questions
0
votes
0
answers
315
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Stable Diffusion 3.5 Turbo extremely slow using diffusers library
Running example code directly from the huggingface stable diffusion 3.5 site link and I am getting extremely slow run times, averaging 90 seconds per iteration. For reference when I use Stable ...
0
votes
1
answer
669
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Flux.1 Schnell image generator issue, GPU resources getting exhausted after 1 prompt
So, I tried to train a prompt based image generation model using FLUX.1-schnell. I used Lightning AI Studio (an alternate to Google Colab), that helped me to access to L40 GPU, that came with 48gb ...
3
votes
2
answers
1k
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Issue loading FluxPipeline components
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained('C:\\Python\\Projects\\test1\\flux1dev', torch_dtype=torch.bfloat16)
pipe.enable_sequential_cpu_offload()
prompt = ...
1
vote
0
answers
83
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GPU out of memory using hugging face
Pytorch is throwing GPU out of memory error
this is the code
from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, UniPCMultistepScheduler
from diffusers.utils import load_image
...
2
votes
0
answers
383
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How to use batch prediction in Diffusers.StableDiffusionXLImg2ImgPipeline library
I'm currently exploring the StableDiffusion Image to Image library within HuggingFace. My goal is to generate images similar to the ones I have stored in a folder. Currently, I'm using the following ...