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README.md

@@ -1,6 +1,6 @@
 ---
 license: creativeml-openrail-m
-base_model: "black-forest-labs/FLUX.1-dev"
+base_model: "sayakpaul/FLUX.1-merged"
 tags:
   - stable-diffusion
   - stable-diffusion-diffusers
@@ -25,7 +25,7 @@ widget:
 
 # meme1
 
-This is a LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
+This is a LoRA derived from [sayakpaul/FLUX.1-merged](https://huggingface.co/sayakpaul/FLUX.1-merged).
 
 
 
@@ -58,8 +58,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 99
-- Training steps: 2100
+- Training epochs: 96
+- Training steps: 2522
 - Learning rate: 0.0005
 - Effective batch size: 1
   - Micro-batch size: 1
@@ -79,9 +79,9 @@ You may reuse the base model text encoder for inference.
 
 ## Datasets
 
-### carbman1
+### meme1
 - Repeats: 0
-- Total number of images: 21
+- Total number of images: 26
 - Total number of aspect buckets: 1
 - Resolution: 1024 px
 - Cropped: False
@@ -96,7 +96,7 @@ You may reuse the base model text encoder for inference.
 import torch
 from diffusers import DiffusionPipeline
 
-model_id = 'black-forest-labs/FLUX.1-dev'
+model_id = 'sayakpaul/FLUX.1-merged'
 adapter_id = 'ambientocclusion/meme1'
 pipeline = DiffusionPipeline.from_pretrained(model_id)
 pipeline.load_lora_weights(adapter_id)