Upload folder using huggingface_hub

README.md

@@ -0,0 +1,39 @@
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/crt_000900_00_20240925111818.png
+    text: a word "hello world" on a crt screen
+-   output:
+        url: sample/crt_000900_01_20240925111836.png
+    text: a keyboard on a crt screen
+-   output:
+        url: sample/crt_000900_02_20240925111854.png
+    text: a robot on a crt screen
+base_model: cocktailpeanut/xulf-dev
+instance_prompt: crt screen
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+# crt
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `crt screen` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
+
+Weights for this model are available in Safetensors format.
+

crt-000004.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:553e2292a1d1c6287e90533b3e689be0693fdc9903c1944d87b711d6b310b81b
+size 39757096

crt-000008.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d61345a2deb61d1a322a759ccadb71a8a5db2b469f5fdd0daed393ef15f6e2
+size 39757096

crt-000012.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05683856740dbe5c84dcebd7a7e5215ca6d6df21a3dcdde4d2ac57a3e1881b9d
+size 39757096

crt.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21bb03586050979d6d1f43028e64fd96135a01a072fd0d512f9e69f9bc8a53b1
+size 39757096

dataset.toml

@@ -0,0 +1,14 @@
+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 512
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = 'C:\pinokio\api\fluxgym.git\datasets\crt'
+  class_tokens = 'crt screen'
+  num_repeats = 10

sample_prompts.txt

@@ -0,0 +1,3 @@
+a word "hello world" on a crt screen
+a keyboard on a crt screen
+a robot on a crt screen

train.bat

@@ -0,0 +1,34 @@
+accelerate launch ^
+  --mixed_precision bf16 ^
+  --num_cpu_threads_per_process 1 ^
+  sd-scripts/flux_train_network.py ^
+  --pretrained_model_name_or_path "C:\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
+  --clip_l "C:\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "C:\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "C:\pinokio\api\fluxgym.git\models\vae\ae.sft" ^
+  --cache_latents_to_disk ^
+  --save_model_as safetensors ^
+  --sdpa --persistent_data_loader_workers ^
+  --max_data_loader_n_workers 2 ^
+  --seed 42 ^
+  --gradient_checkpointing ^
+  --mixed_precision bf16 ^
+  --save_precision bf16 ^
+  --network_module networks.lora_flux ^
+  --network_dim 4 ^
+  --optimizer_type adamw8bit ^--sample_prompts="C:\pinokio\api\fluxgym.git\outputs\crt\sample_prompts.txt" --sample_every_n_steps="300" ^
+  --learning_rate 8e-4 ^
+  --cache_text_encoder_outputs ^
+  --cache_text_encoder_outputs_to_disk ^
+  --fp8_base ^
+  --highvram ^
+  --max_train_epochs 16 ^
+  --save_every_n_epochs 4 ^
+  --dataset_config "C:\pinokio\api\fluxgym.git\outputs\crt\dataset.toml" ^
+  --output_dir "C:\pinokio\api\fluxgym.git\outputs\crt" ^
+  --output_name crt ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^