Instructions to use VHKE/flisps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/flisps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("VHKE/flisps") prompt = "flisps on a glass box --d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files- README.md +39 -0
- dataset.toml +14 -0
- flisps-000004.safetensors +3 -0
- flisps-000008.safetensors +3 -0
- flisps-000012.safetensors +3 -0
- flisps.safetensors +3 -0
- sample_prompts.txt +3 -0
- train.bat +34 -0
README.md
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- text-to-image
|
| 4 |
+
- flux
|
| 5 |
+
- lora
|
| 6 |
+
- diffusers
|
| 7 |
+
- template:sd-lora
|
| 8 |
+
- fluxgym
|
| 9 |
+
widget:
|
| 10 |
+
- output:
|
| 11 |
+
url: sample/flisps_009000_01_20250304201250.png
|
| 12 |
+
text: flisps on a glass box --d 45
|
| 13 |
+
- output:
|
| 14 |
+
url: sample/flisps_008500_01_20250304200012.png
|
| 15 |
+
text: flisps on a display shop -- 45
|
| 16 |
+
- output:
|
| 17 |
+
url: sample/flisps_008000_01_20250304194736.png
|
| 18 |
+
text: flisps on a woman feet --d 45
|
| 19 |
+
base_model: black-forest-labs/FLUX.1-dev
|
| 20 |
+
instance_prompt: flisps
|
| 21 |
+
license: other
|
| 22 |
+
license_name: flux-1-dev-non-commercial-license
|
| 23 |
+
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
|
| 24 |
+
---
|
| 25 |
+
|
| 26 |
+
# flisps
|
| 27 |
+
|
| 28 |
+
A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
|
| 29 |
+
|
| 30 |
+
<Gallery />
|
| 31 |
+
|
| 32 |
+
## Trigger words
|
| 33 |
+
|
| 34 |
+
You should use `flisps` to trigger the image generation.
|
| 35 |
+
|
| 36 |
+
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
|
| 37 |
+
|
| 38 |
+
Weights for this model are available in Safetensors format.
|
| 39 |
+
|
dataset.toml
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[general]
|
| 2 |
+
shuffle_caption = false
|
| 3 |
+
caption_extension = '.txt'
|
| 4 |
+
keep_tokens = 1
|
| 5 |
+
|
| 6 |
+
[[datasets]]
|
| 7 |
+
resolution = 512
|
| 8 |
+
batch_size = 1
|
| 9 |
+
keep_tokens = 1
|
| 10 |
+
|
| 11 |
+
[[datasets.subsets]]
|
| 12 |
+
image_dir = 'C:\pinokioFOLDER\api\fluxgym.git\datasets\flisps'
|
| 13 |
+
class_tokens = 'flisps'
|
| 14 |
+
num_repeats = 10
|
flisps-000004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c997f70fa417811510a59e2a1c465e1555a02de8fb34af903d0051a3e652071
|
| 3 |
+
size 39770536
|
flisps-000008.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:891029e373837aa62fc508850499c0e4532a776c8c049f6df8e6258fc7ae4ced
|
| 3 |
+
size 39770536
|
flisps-000012.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a789ac167e092a9876803be5dc9660fb7ac151738d882280d83607cb7dfd7310
|
| 3 |
+
size 39770536
|
flisps.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2eb19349ddcd35b8f5a0dc850818cb2c8c4cd02ce94d9491543aa90fa483d19e
|
| 3 |
+
size 39770536
|
sample_prompts.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
flisps on a glass box --d 45
|
| 2 |
+
flisps on a display shop -- 45
|
| 3 |
+
flisps on a woman feet --d 45
|
train.bat
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
accelerate launch ^
|
| 2 |
+
--mixed_precision bf16 ^
|
| 3 |
+
--num_cpu_threads_per_process 1 ^
|
| 4 |
+
sd-scripts/flux_train_network.py ^
|
| 5 |
+
--pretrained_model_name_or_path "C:\pinokioFOLDER\api\fluxgym.git\models\unet\flux1-dev.sft" ^
|
| 6 |
+
--clip_l "C:\pinokioFOLDER\api\fluxgym.git\models\clip\clip_l.safetensors" ^
|
| 7 |
+
--t5xxl "C:\pinokioFOLDER\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
|
| 8 |
+
--ae "C:\pinokioFOLDER\api\fluxgym.git\models\vae\ae.sft" ^
|
| 9 |
+
--cache_latents_to_disk ^
|
| 10 |
+
--save_model_as safetensors ^
|
| 11 |
+
--sdpa --persistent_data_loader_workers ^
|
| 12 |
+
--max_data_loader_n_workers 2 ^
|
| 13 |
+
--seed 42 ^
|
| 14 |
+
--gradient_checkpointing ^
|
| 15 |
+
--mixed_precision bf16 ^
|
| 16 |
+
--save_precision bf16 ^
|
| 17 |
+
--network_module networks.lora_flux ^
|
| 18 |
+
--network_dim 4 ^
|
| 19 |
+
--optimizer_type adamw8bit ^--sample_prompts="C:\pinokioFOLDER\api\fluxgym.git\outputs\flisps\sample_prompts.txt" --sample_every_n_steps="500" ^
|
| 20 |
+
--learning_rate 8e-4 ^
|
| 21 |
+
--cache_text_encoder_outputs ^
|
| 22 |
+
--cache_text_encoder_outputs_to_disk ^
|
| 23 |
+
--fp8_base ^
|
| 24 |
+
--highvram ^
|
| 25 |
+
--max_train_epochs 16 ^
|
| 26 |
+
--save_every_n_epochs 4 ^
|
| 27 |
+
--dataset_config "C:\pinokioFOLDER\api\fluxgym.git\outputs\flisps\dataset.toml" ^
|
| 28 |
+
--output_dir "C:\pinokioFOLDER\api\fluxgym.git\outputs\flisps" ^
|
| 29 |
+
--output_name flisps ^
|
| 30 |
+
--timestep_sampling shift ^
|
| 31 |
+
--discrete_flow_shift 3.1582 ^
|
| 32 |
+
--model_prediction_type raw ^
|
| 33 |
+
--guidance_scale 1 ^
|
| 34 |
+
--loss_type l2 ^
|