Update README.md

README.md

@@ -1,105 +1 @@
----
-license: creativeml-openrail-m
-base_model: "black-forest-labs/FLUX.1-dev"
-tags:
-  - stable-diffusion
-  - stable-diffusion-diffusers
-  - text-to-image
-  - diffusers
-  - simpletuner
-  - lora
-  - template:sd-lora
-inference: true
-
----
-
-# AlbertFLUX
-
-This is a LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
-
-
-
-The main validation prompt used during training was:
-
-```
-Albert the cat riding a horse on the moon
-```
-
-## Validation settings
-- CFG: `3.5`
-- CFG Rescale: `0.0`
-- Steps: `30`
-- Sampler: `None`
-- Seed: `42`
-- Resolution: `1024`
-
-Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
-
-
-
-
-<Gallery />
-
-The text encoder **was not** trained.
-You may reuse the base model text encoder for inference.
-
-
-## Training settings
-
-- Training epochs: 55
-- Training steps: 1400
-- Learning rate: 1.0
-- Effective batch size: 1
-  - Micro-batch size: 1
-  - Gradient accumulation steps: 1
-  - Number of GPUs: 1
-- Prediction type: epsilon
-- Rescaled betas zero SNR: False
-- Optimizer: Prodigy
-- Precision: bf16
-- Xformers: Not used
-- LoRA Rank: 16
-- LoRA Alpha: 16
-- LoRA Dropout: 0.1
-- LoRA initialisation style: default
-
-
-## Datasets
-
-### Albert
-- Repeats: 0
-- Total number of images: 25
-- Total number of aspect buckets: 1
-- Resolution: 1 megapixels
-- Cropped: True
-- Crop style: center
-- Crop aspect: square
-
-
-## Inference
-
-
-```python
-import torch
-from diffusers import DiffusionPipeline
-
-model_id = 'black-forest-labs/FLUX.1-dev'
-adapter_id = 'AlbertFLUX'
-pipeline = DiffusionPipeline.from_pretrained(model_id)\pipeline.load_lora_weights(adapter_id)
-
-prompt = "Albert the cat riding a horse on the moon"
-negative_prompt = "blurry, cropped, ugly"
-
-pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
-image = pipeline(
-    prompt=prompt,
-    negative_prompt='blurry, cropped, ugly',
-    num_inference_steps=30,
-    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
-    width=1152,
-    height=768,
-    guidance_scale=3.5,
-    guidance_rescale=0.0,
-).images[0]
-image.save("output.png", format="PNG")
-```
+a collection of really sus loras...