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FilmGrain.Redmond - FilmGrain Lora For SDXL

Prompt
A beautiful blonde girl, close-up, portrait ,Film Grain, FilmGrainAF,
Prompt
A beautiful blonde girl, close-up, portrait ,Film Grain, FilmGrainAF,
Prompt
A beautiful blonde girl, close-up, portrait ,Film Grain, FilmGrainAF,
Prompt
A bodybuilder old man, close-up, portrait ,Film Grain, FilmGrainAF,
Prompt
A young king, close-up, portrait ,Film Grain, FilmGrainAF,
Prompt
A young king, close-up, portrait ,Film Grain, FilmGrainAF,
Prompt
A cat wearing christmas hat, ,Film Grain, FilmGrainAF,
Prompt
A cat wearing christmas hat, ,Film Grain, FilmGrainAF,

Model description

FilmGrain.Redmond is here!

I'm grateful for the GPU time from Redmond.AI that allowed me to finish this LORA!

This is a Film Grain LORA fine-tuned on SD XL 1.0.

Test all my Loras here for free and unlimited. Thanks, HF, for Inference API!

The LORA has a high capacity to generate Film Grain in a wide variety of themes. It's a versatile LORA.

I recommend gen in 1024x1024.

You can use detailed, minimalist, colorful, black and white as tag to control the results.

The tag for the model:Film Grain, FilmGrainAF

LORA is not perfect and sometimes needs more than one gen to create good images. I recommend simple prompts.

I really hope you like the LORA and use it.

If you like the model and think it's worth it, you can make a donation to my Patreon or Ko-fi.

Follow me in my twitter to know before all about new models:

https://twitter.com/artificialguybr/

Trigger words

You should use Film Grain, FilmGrainAF to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('artificialguybr/filmgrain-redmond-filmgrain-lora-for-sdxl', weight_name='FilmGrainRedmond-FilmGrain-FilmGrainAF.safetensors')
image = pipeline('A cat wearing christmas hat,
,Film Grain, FilmGrainAF,').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

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This model can be loaded on Inference API (serverless).

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